Research providing consistent evidence of pervasive discrimination against overweight job applicants and employees in the American workplace raises important questions for organizational stakeholders. To what extent is the disparate treatment of job applicants or employees based on their weight ethically justified? Are there aspects of weight discrimination that make it more acceptable than discrimination based on other characteristics, such as race or gender? What operational steps can employers take to address concerns regarding the ethical treatment (...) of overweight individuals in the workplace? This article investigates these and related questions. Its purpose is to provide information and analysis that will assist organizations in formulating ethical responses to a widespread phenomenon: weight discrimination in the workplace. Although its focus is the American workplace, the proposed employer ethical obligations and the practical guidance that is provided are viewed as generalizing across countries and cultures. (shrink)

Several studies have established the prevalence of discrimination upon the basis of weight in healthcare; however, these studies lack the element of human experience that makes addressing the issue vital to both individual and public health. Narrative medicine is an interdisciplinary field that utilizes powerful narrative skills and creativity to address the needs of those who seek and deliver healthcare, promoting healing, and self-reflection for both patients and physicians. This paper seeks to re-evaluate key studies regarding the issue (...) of weight discrimination in healthcare through the lens of narrative medicine. In doing so, it further integrates the aspect of human experience into the study of medical ethics in order to improve the lived experience of overweight individuals in medicine. (shrink)

Our understanding of the decisions made under scenarios where both descriptive and experience-based information are available is very limited. Underweighting of small probabilities was observed in the gain domain when both description and experience were provided. The divergence observed from the prospect theory suggests a need for a separate or modified theory of decision making under risk. Recent studies suggest a possible role of probability weighting in the choice behaviour under risk. We investigated both gain and loss domains with and (...) without feedback for small and large probability conditions. We characterized the shape of the probability weighting function by a two-parameter functional form representing discriminability (concave-convex shape) and attractiveness (level of absolute weights relative to objective probability). We replicated four-fold pattern of risk attitude on non-WEIRD population. We find that feedback leads to underweighting of small probabilities and overweighting of large probabilities in the gain domain and overall underweighting of probabilities in the loss domain. We find that underweighting of small probabilities is driven by changes in discriminability and attractiveness components in the gain domain and changes in the attractiveness component in the loss domain. We have interpreted the results by proposing an updated belief-based account of decisions under uncertainty in which feedback, when available, influences the probability weighting mediating the choice behaviour. (shrink)

Given a rich environment, how do we decide on what information to use? A view of a single entity (e.g., a group of birds) affords many distinct interpretations, including their number, average size, and spatial extent. An enduring challenge for cognition, therefore, is to focus resources on the most relevant evidence for any particular decision. In the present study, subjects completed three tasks—number discrimination, surface area discrimination, and convex hull discrimination—with the same stimulus set, where these three (...) features were orthogonalized. Therefore, only the relevant feature provided consistent evidence for decisions in each task. This allowed us to determine how well humans discriminate each feature dimension and what evidence they relied on to do so. We introduce a novel computational approach that fits both feature precision and feature use. We found that the most relevant feature for each decision is extracted and relied on, with minor contributions from competing features. These results suggest that multiple feature dimensions are separately represented for each attended ensemble of many items and that cognition is efficient at selecting the appropriate evidence for a decision. (shrink)

Over time, there has been a steady increase of workplace health promotion programs that aim to promote employees’ health and fitness. Previous research has focused on such program’s effectiveness, cost-savings, and barriers to engaging in workplace health promotion. The present research focuses on a downside of workplace health promotion programs that to date has not been examined before, namely the possibility that they, due to a focus on individual responsibility for one’s health, inadvertently facilitate stigmatization and discrimination of people (...) with overweight in the workplace. Study 1 shows that the presence of workplace health promotion programs is associated with increased attributions of weight controllability. Study 2 experimentally demonstrates that workplace health promotion programs emphasizing individual rather than organizational responsibility elicit weight stigma. Study 3, which was pre-registered, showed that workplace health promotion programs emphasizing individual responsibility induced weight-based discrimination in the context of promotion decisions in the workplace. Moreover, focusing on people with obesity who frequently experience weight stigma and discrimination, Study 3 showed that workplace health promotion programs highlighting individual responsibility induced employees with obesity to feel individually responsible for their health, but at the same time made them perceive weight as less controllable. Together, our research identifies workplace health promotion programs as potent catalysts of weight stigma and weight-based discrimination, especially when they emphasize individual responsibility for health outcomes. As such, we offer valuable insights for organizations who aim to design and implement workplace health promotion programs in an inclusive, non-discriminatory way that benefits all employees. (shrink)

The article explores one prominent account of what makes discrimination morally bad (when it is) – the disrespect-based account. The article first reviews and clarifies the account, arguing that it is most charitably understood as the claim that discrimination is morally bad when the discriminator gives lower weight to reasons grounded in the moral status of the discriminatee(s) in her decision-making. It then presents three challenges to the account, and reviews a recent argument in defense of it. (...) The first challenge is the fact that intuitions that might support the disrespect-based account can also be explained by reference to the fact that disrespect reflects poorly on the moral character of the discriminator. The second challenge is that there are cases where disrespectful discrimination is not intuitively worse than non-disrespectful discrimination. The third challenge is that the disrespect-based account has difficulties explaining our intuitions about cases of “doing right for the wrong reasons”. Finally, pace a recent argument in its defense, cases of harmless and apparently morally bad discrimination are plausibly best explained by other factors than disrespect. In the light of this analysis, the article concludes that the disrespect-based account should be abandoned. (shrink)

This paper explores the potential of a contextual approach to multicultural conflict. It reconstructs two cases that were hotly debated in the Netherlands—Islamic headscarves for police officers and for court officers—and asks whether a contextual approach reaches compromises and thus promotes social stability more easily than a deductive approach. The argument is that a deductive approach accepts standing interpretations of normative principles, whereas a contextual approach reinterprets these principles in the light of the circumstances and that, whether or not it (...) promotes social stability, a contextual approach makes us attend to otherwise neglected perspectives and thus yields greater normative insights. (shrink)

Quality-Adjusted Life Years (QALYs) and Disability-Adjusted Life Years (DALYs) are two of the most commonly used health measures to determine resource prioritization and the population burden of disease, respectively. There are different types of problems with the use of QALYs and DALYs for measuring health benefits. Some of these problems have to do with measurement, for example, the weights they ascribe to health states might fail to reflect with exact accuracy the actual well-being or health levels of individuals. But even (...) if these weights represent accurately the well-being levels of individuals, there is room for questioning whether these measures capture everything that we care about in these cases, or whether there are important issues that they leave out, including considerations of fairness or equality. In this regard, the measures have been criticized for treating the aggregation of small benefits as greater than the aggregation of fewer but bigger benefits,1for disregarding fair chances in favor of utility maximization,2and for raising problems when applied in the context of variable population size.3Perhaps one of the most pervasive ethical issues that has been associated with the use of these measures is the fact that they seem to discriminate against disabled people.4Since the measures assume that disabled people have lower well-being and a shorter life span, treating a disabled person’s medical condition contributes less to the maximization of years of life with good health than treating a non-disabled patient’s medical condition. (shrink)

This study draws the attention towards the importance of reducing weight discrimination against children for their educational success, as an issue of social justice. We investigate the consequences of early-onset obesity identifying the mediating mechanisms in the relationship between childhood obesity and academic achievement. To do so, we employ the Early Childhood Longitudinal Study-Kindergarten Cohort in the US and apply a parallel process latent growth model with a combination of quasi-experiments and econometrics. The results of this study suggest (...) that teachers may serve as a significant source of weight bias, especially for girls. (shrink)

Many ethical theorists believe that a given distribution of healthcare is morally justified only if (1) it is cost-effective and (2) it does not discriminate against older adults and disabled people. However, if (3) cost-effectiveness involves maximizing the number of quality-adjusted life-years (QALYs) added by a given unit of healthcare resource, or cost, it seems the pursuit of cost-effectiveness will inevitably discriminate against older adults and disabled patients. I show why this trilemma is harder to escape than some theorists think. (...) We cannot avoid it by using age- or disability-weighted QALY scores, for example. I then explain why there is no sense of “discrimination” on which discrimination isbothunjust, and thus something healthcare rationing must avoid,andsomething cost-effective healthcare rationing inevitably involves. I go on to argue that many of the reasons we have for not favoring rationing that maximizes QALYs outside the healthcare context apply in healthcare as well. Thus, claim (1) above is dubious. (shrink)

The statistics-based method ignores the semantic constraints in the English grammar area branch training model and is unable to identify the orientation information effectively. This paper systematically discusses the close relationship between English grammar area branch training model filtering, English grammar area branch training model retrieval, and machine learning. By analyzing the role of the situation in the understanding of the English grammar area branch training model, the relationship between the English grammar area branch training model and situation model and (...) the correlation between the features of the English grammar area branch training model and situation model are determined, and then, a set of filtering methods for the English grammar area branch training model are proposed. At present, there are few research studies on bias filtering, and the method of thematic filtering is generally used, which has poor effect. This paper makes full use of the domain knowledge and adopts the semantic pattern analysis technology to establish a wealth of semantic analysis resources, including various dictionaries, rules, and weight representation, so as to effectively filter the inclined English grammar area branch training model. The introduction of semantic data sources solves the problem of data sparsity and cold start in the traditional collaborative filtering system. In addition, in order to improve the scalability and real-time performance of the recommendation system, the data mining method is used to perform fuzzy clustering for users and projects in the offline data preprocessing stage. This paper proposes a search and filter scheme based on the orientation of the training model in English grammar area, elaborates on the details, constructs a whole set of function structure from representation to weight, and gives the experimental results, which prove that the system has a good filtering effect and is fast. Compared with the traditional statistical methods, the results are satisfactory. (shrink)

We examine stigma and how it operates, then develop a novel framework to classify the range of positions that are conceptually possible regarding how stigma ought to be handled from a public health perspective. In the case of weight stigma, the possible positions range from encouraging the intentional use of weight stigma as an obesity prevention and reduction strategy to arguing not only that this is harmful but that weight stigma, independent of obesity, needs to be actively (...) challenged and reduced. Using weight stigma as an illustrative example, we draw on prior theoretical work on stigma mechanisms and intervention strategies to develop a framework for improving the understanding, evaluation, and planning of anti-stigma interventions. This framework has the potential to help public health actors to map out how protest, contact, education, and regulation strategies can be used to reduce direct discrimination, structural discrimination, and internalized stigma. (shrink)

Background and purposeWe previously established a radiological protocol to discriminate multiple system atrophy-parkinsonian subtype from Parkinson’s disease. However, we do not know if it can differentiate early stage disease. This study aimed to investigate whether the morphological and intensity changes in susceptibility weighted imaging of the lentiform nucleus could discriminate MSA-P from PD at early stages.MethodsWe retrospectively enrolled patients with MSA-P, PD and sex- and age-matched controls whose brain MRI included SWI, between January 2015 and July 2020 at the Movement (...) Disorder Center. Two specialists at the center reviewed the medical records and made the final diagnosis, and two experienced neuroradiologists performed MRI analysis, based on a defined and revised protocol for conducting morphological measurements of the LN and signal intensity.ResultsNineteen patients with MSA-P and 19 patients with PD, with less than 2 years of disease duration, and 19 control individuals were enrolled in this study. We found that patients with MSA- P presented significantly decreased size in the short line and corrected short line, ratio of the SL to the long line and corrected SLLr of the LN, increased standard deviation of signal intensity compared to patients with PD and controls. With receiver operating characteristic analysis, this finding had a sensitivity of 89.5% and a specificity of 73.7% to distinguish MSA- P from PD.ConclusionCompared to PD and controls, patients with MSA-P are characterized by a narrowing morphology of the posterior region of the LN. Quantitative morphological changes provide a reference for clinical auxiliary diagnosis. (shrink)

Maximum deviation global discrimination index is a new item selection method for cognitive diagnostic computerized adaptive testing that allows for attribute coverage balance. We developed the maximum limitation global discrimination index from MDGDI, which allows for both attribute coverage balance and item exposure control. MLGDI can realize the attribute coverage balance and exposure control of the item. Our simulation study aimed to evaluate the performance of our new method against maximum global discrimination index, modified maximum GDI, standardized (...) weighted deviation GDI, and constraint progressive with SWDGDI. The results indicated that under the condition of realizing the attribute coverage balance, MDGDI had the highest attribute classification accuracy; when the selection strategy accommodated the practical constraints of the attribute coverage balance and item exposure control, MLGDI had the highest attribute classification accuracy; adding the item exposure control mechanism to the item selection method reduces the classification accuracy of the attributes of the item selection method; and compared with GDI, MMGDI, SWDGDI, CP_SWDGDI, and MDGDI, MLGDI can better achieve the attribute-coverage requirement, control item exposure rate, and attribute correct classification rate. (shrink)

BackgroundMultidisciplinary study groups have produced documents in an attempt to support decisions regarding whether to resuscitate "at risk" newborns or not. Moreover, there has been an increasingly insistent request for juridical regulation of neonatal resuscitation practices as well as for clarification of the role of parents in decisions regarding this kind of assistance. The crux of the matter is whether strict guidelines, reference standards based on the parameter of gestational age and authority rules are necessary.DiscussionThe Italian scenario reflects the current (...) animated debate, illustrating the difficulty intrinsic in rigid guidelines on the subject, especially when gestational age is taken as a reference parameter for the medical decision.SummaryConcerning the decision to interrupt or not to initiate resuscitation procedures on low gestational age newborns, physicians do not need rigid rules based on inflexible gestational age and birth weight guidelines. Guidance in addressing the difficult and trying issues associated with infants born at the margins of viability with a realistic assessment of the infant's clinical condition must be based on the infant's best interests, with clinicians and parents entering into what has been described as a "partnership of care". (shrink)

Even though considerable resources have been allocated to the study of obesity, there is no consensus on its definition, causes, or solutions. Amidst ongoing debates over understandings of obesity, Obesity Canada (OC) was established to enhance the quality of life of Canadians with obesity through the advancement of anti-discrimination, policy change, and obesity prevention and treatment. Drawing upon a transdisciplinary social justice framework, we use critical thematic analysis to examine the OC website, which is the organization’s primary knowledge mobilization (...) platform. We will address the following research question: To what extent does OC serve social justice goals that promote the best interests of larger people? We argue that the social justice potential of OC ultimately falls short and conclude with some recommendations on how the site content could be enhanced with social justice principles. (shrink)

Discrimination and inequalities in healthcare can be experienced by many patients due to many characteristics ranging from the obviously visible to the more subtly noticeable, such as race and ethnicity, legal status, social class, linguistic fluency, health literacy, age, gender and weight. Discrimination can take a number of forms including overt racist statement, stereotyping or explicit and implicit attitudes and biases. This paper presents the case study of a complex transcultural clinical encounter between the mother of a (...) young infant in a highly vulnerable social situation and a hospital healthcare team. In this clinical setting, both parties experienced difficulties, generating explicit and implicit negative attitudes that heightened into reciprocal mistrust, conflict and distress. The different factors influencing their conscious and unconscious biases will be analysed and discussed to offer understanding of the complicated nature of human interactions when faced with vulnerability in clinical practice. This case vignette also illustrates how, even in institutions with long-standing experience and many internal resources to address diversity and vulnerability, cultural competence remains a constant challenge. (shrink)

Discrimination and inequalities in healthcare can be experienced by many patients due to many characteristics ranging from the obviously visible to the more subtly noticeable, such as race and ethnicity, legal status, social class, linguistic fluency, health literacy, age, gender and weight. Discrimination can take a number of forms including overt racist statement, stereotyping or explicit and implicit attitudes and biases. This paper presents the case study of a complex transcultural clinical encounter between the mother of a (...) young infant in a highly vulnerable social situation and a hospital healthcare team. In this clinical setting, both parties experienced difficulties, generating explicit and implicit negative attitudes that heightened into reciprocal mistrust, conflict and distress. The different factors influencing their conscious and unconscious biases will be analysed and discussed to offer understanding of the complicated nature of human interactions when faced with vulnerability in clinical practice. This case vignette also illustrates how, even in institutions with long-standing experience and many internal resources to address diversity and vulnerability, cultural competence remains a constant challenge. (shrink)

Today’s urban schools provide a unique intergroup context in which the students vary not only by race/ethnicity but also by the relative representation of their racial/ethnic groups. In two studies, we examined how this diversity aligns with intersectionality and multiple identities perspectives to affect the power and status associated with each group to shape intergroup dynamics. Study 1 focused on the perception of intergroup bias to investigate how perceived presence of same-race/ethnicity peers affects middle school students’ intersectional intergroup attitudes based (...) on race/ethnicity, gender, and sexual orientation. Middle school students were randomly assigned to view Facebook-like profiles of peers that varied by gender, race/ethnicity, and sexual orientation and offered their first impressions as a way to assess various domains of intergroup attitudes. The perceived presence of same-race/ethnicity peers influenced intersectional intergroup attitudes, however, differentially so depending on stereotypes, prejudice, and behavioral tendencies. Study 2 focused on the experience of intergroup bias and simultaneously examined race, gender, and weight discrimination and its consequences among middle school students. Using latent profile analysis, five profiles of youth based on the pattern of perceived discrimination due to gender, race/ethnicity, and weight were identified. Being African American, Latinx, and male with a high body mass index and few same-race/ethnicity peers at school predicted membership in a race profile, whereas being White or Asian with high BMI and more same-race/ethnicity peers predicted membership in a weight profile. Perceiving oneself as gender atypical was associated with all discrimination profiles. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Calling Obesity a Disease Is A Terrible DecisionMoose FinklesteinFactsThe medical world struggles to see the difference between health and body weight. It is still mostly combined with the strong belief that there is no way a fat person can be fit and healthy. Despite repeated studies and work to show differently, this prejudice remains. This has become part of what I call “Everyone Knows” pseudoscience, where data that (...) have no scientific basis become “fact” due to constant repetition.Obesity is already the cause of great stigma in our society. Fat people are considered “ugly,” fat jokes are acceptable in everyday life, and being called ‘fat’ is, to many, as big an insult as a racial slur. Fat prejudice can approach the levels of racial prejudice (Puhl, Andreyevea & Brownell, 2008). Fat children are bullied, sometimes to the point of suicide. Some studies have found children as young as five trying to diet for being fat, no matter their actual weight. Fat people are more likely to be unemployed or underemployed, and there are prejudicial beliefs that fat workers are more problematic, despite research saying otherwise (Roehling, Roehling, & Odland, 2008).Obesity is seen by the masses as something people choose. However, science disagrees. There has long been a link between depression and obesity. Mental health is tightly tied to obesity, where those who experience weight discrimination are more likely to gain weight, although unhealthy behaviours such as binge eating and exercise avoidance are sometimes seen as a coping mechanism (Sutin & Teracciano, 2013).It has been reported in a number of journals that 90–95% of the people who lose weight regain the weight within 10 years (Mann et al., 2007; Miller, 1999). “Everyone Knows” claims that this is because people go back to bad habits. Science, however, says that there are complex ways the body wants to regain the weight (Sumithran & Proietto, 2013; Sumithran et al., 2011). Worse, dieting may contribute to obesity. Adolescent girls who diet are at 324% greater risk for obesity than those who do not diet (Stice, Cameron, R. P., Killen, J. D., Hayward, C. & Taylor, C. B. 1999). Weight loss dieting may cause other health problems as well, such as immune system problems (Shade ED, et al. 2004).In the medical world, doctors are encouraged to talk to patients about their weight. Every fat person has heard, “What are we going to do about your weight?” The “we” is supposed encourage the patient to feel that the doctor is on the patient’s side in their battle. Yet what many patients hear is, “I don’t see you as a patient, I see you as fat.” Science says that the higher a patient’s BMI the less respect a doctor has for the patient (Huzinga, Cooper, Bleich, Clark, & Beach, 2009).Horror stories about fat people trying to get decent health care are everywhere. For a good example, see Bruce Taylor Seeman’s piece, “The Perils of Obesity May Include the Doctor” (2006). [End Page E1] There are many blogs and stories on the internet about the way patients are not just shamed for their weight, but actively bullied by medical professionals. One blog, The Well Rounded Mama (wellroundedmama.blogspot.com), discusses the bias of doctors against pregnant fat women, who are told things like, “You cannot have a healthy baby when you are this fat” and encouraged to abort. Tales from people told that their weight is the cause for everything and anything can be found on sites like First Do No Harm (fathealth.wordpress.com). Reading blogs by medical professionals can show the disdain they have for fat people. In one, an emergency room nurse declared that all fat diabetics have poor control, based solely on perceptions from her job. Comments were mostly other nurses agreeing with how “disgusting” fat people are to have to deal with. However, Yale University’s Rudd Center for Food Policy & Obesity not only recognizes the problem but aims to help medical professionals eliminate the bias.If obesity becomes a disease, weight loss surgery (WLS) becomes a bigger gold mine. Medical insurance will be more likely to cover weight loss surgery. WLS is an ever-changing target: there... (shrink)

In the study of automatic summarization, the main research topic was `important sentence extraction' but nowadays `sentence compression' is a hot research topic. Conventional sentence compression methods usually transform a given sentence into a parse tree or a dependency tree, and modify them to get a shorter sentence. However, this method is sometimes too rigid. In this paper, we regard sentence compression as an combinatorial optimization problem that extracts an optimal subsequence of words. Hori et al. also proposed a similar (...) method, but they used only a small number of features and their weights were tuned by hand. We introduce a large number of features such as part-of-speech bigrams and word position in the sentence. Furthermore, we train the system by discriminative learning. According to our experiments, our method obtained better score than other methods with statistical significance. (shrink)

Even though considerable resources have been allocated to the study of obesity, there is no consensus on its definition, causes, or solutions. Amidst ongoing debates over understandings of obesity,...

This article discusses the view that bioethics should become ‘‘culturally sensitive’’ and give more weight to various cultural traditions and their respective moral beliefs. It is argued that this view is implausible for the following three reasons: it renders the disciplinary boundaries of bioethics too flexible and inconsistent with metaphysical commitments of Western biomedical sciences, it is normatively useless because it approaches cultural phenomena in a predominantly descriptive and selective way, and it tends to justify certain types of (...) class='Hi'>discrimination. (shrink)

A detailed theoretical analysis is presented of what five utility representations – subjective expected utility (SEU), rank-dependent (cumulative or Choquet) utility (RDU), gains decomposition utility (GDU), rank weighted utility (RWU), and a configural-weight model (TAX) that we show to be equivalent to RWU – say about a series of independence properties, many of which were suggested by M. H. Birnbaum and his coauthors. The goal is to clarify what implications to draw about the descriptive aspects of the representations from (...) data concerning these properties. The upshot is a sharp rejection of SEU and RDU and no clear choice between GDU and TAX, but a list of 8 properties is given that should receive more attention to discriminate between the latter two models. (shrink)

Proper linear models are those in which predictor variables are given weights such that the resulting linear composite optimally predicts some criterion of interest; examples of proper linear models are standard regression analysis, discriminant function analysis, and ridge regression analysis. Research summarized in P. Meehl's book on clinical vs statistical prediction and research stimulated in part by that book indicate that when a numerical criterion variable is to be predicted from numerical predictor variables, proper linear models outperform clinical intuition. Improper (...) linear models are those in which the weights of the predictor variables are obtained by some nonoptimal method. The present article presents evidence that even such improper linear models are superior to clinical intuition when predicting a numerical criterion from numerical predictors. In fact, unit weighting is quite robust for making such predictions. The application of unit weights to decide what bullet the Denver Police Department should use is described; some technical, psychological, and ethical resistances to using linear models in making social decisions are considered; and arguments that could weaken these resistances are presented. (shrink)

Similarity is one of the most important relations humans perceive, arguably subserving category learning and categorization, generalization and discrimination, judgment and decision making, and other cognitive functions. Researchers have proposed a wide range of representations and metrics that could be at play in similarity judgment, yet have not comprehensively compared the power of these representations and metrics for predicting similarity within and across different semantic categories. We performed such a comparison by pairing nine prominent vector semantic representations with seven (...) established similarity metrics that could operate on these representations, as well as supervised methods for dimensional weighting in the similarity function. This approach yields a factorial model structure with 126 distinct representation‐metric pairs, which we tested on a novel dataset of similarity judgments between pairs of cohyponymic words in eight categories. We found that cosine similarity and Pearson correlation were the overall best performing unweighted similarity functions, and that word vectors derived from free association norms often outperformed word vectors derived from text (including those specialized for similarity). Importantly, models that used human similarity judgments to learn category‐specific weights on dimensions yielded substantially better predictions than all unweighted approaches across all types of similarity functions and representations, although dimension weights did not generalize well across semantic categories, suggesting strong category context effects in similarity judgment. We discuss implications of these results for cognitive modeling and natural language processing, as well as for theories of the representations and metrics involved in similarity. (shrink)

Statistical procedures can be applied to episodes in the history of science in order to weight attributes to predict short-term survival of theories; an asymptotic method is used to show that short-term survival is a valid proxy for ultimate survival; and a theoretical argument is made that ultimate survival is a valid proxy for objective truth. While realists will appreciate this last step, instrumentalists do not need it to benefit from the actuarial procedures of cliometric metatheory. Introduction A plausible (...) proxy for Peircean consensus Assessing the validity of theory attributes as predictors of theory survival 3.1 Linear discriminant function 3.2 Factor analysis 3.3 Taxometric analysis Verisimilitude index Satisfying both instrumentalists and realists Recapitulation Implementation of cliometric metatheory * Correspondence about this article may be addressed to Leslie Yonce at pemeehle{at}umn.edu' + u + '@' + d + ''//--> This article had been completed by Paul Meehl at the time of his death on 14 February 2003. His wife, Leslie J. Yonce, is grateful to Keith Gunderson (University of Minnesota, Center for Philosophy of Science) and Niels G. Waller (Psychology Department, Vanderbilt University) for advice with some final editing details. (shrink)

Anti-vivisectionists charge that animal experimenters are speciesists people who unjustly discriminate against members of other species. Until recently most defenders of experimentation denied the charge. After the publication of `The Case for the Use of Animals in Biomedical Research' in the New England Journal of Medicine , experimenters had a more aggressive reply: `I am a speciesist. Speciesism is not merely plausible, it is essential for right conduct...'1. Most researchers now embrace Cohen's response as part of their defense of animal (...) experimentation. Cohen asserts that both rights and utilitarian arguments against the use of animals in research fail because they `refuse to recognize the moral differences among species'.2 If we appreciate the profound differences between humans and non-human animals, he says, we would understand why animals do not and could not have rights and why animal pain does not have as much moral weight as human pain. Animal liberationists think speciesism is immoral because they mistakenly equate it with racism and sexism. Cohen claims this equation is `unsound', `atrocious', `utterly specious', and `morally offensive'. Doubtless Cohen is right that the charge of speciesism is founded on an analogy with racism and sexism. He is mistaken, however, in asserting that the comparison is categorically illicit. (shrink)

It is possible to learn multiple layers of non-linear features by backpropagating error derivatives through a feedforward neural network. This is a very effective learning procedure when there is a huge amount of labeled training data, but for many learning tasks very few labeled examples are available. In an effort to overcome the need for labeled data, several different generative models were developed that learned interesting features by modeling the higher order statistical structure of a set of input vectors. One (...) of these generative models, the restricted Boltzmann machine (RBM), has no connections between its hidden units and this makes perceptual inference and learning much simpler. More significantly, after a layer of hidden features has been learned, the activities of these features can be used as training data for another RBM. By applying this idea recursively, it is possible to learn a deep hierarchy of progressively more complicated features without requiring any labeled data. This deep hierarchy can then be treated as a feedforward neural network which can be discriminatively fine-tuned using backpropagation. Using a stack of RBMs to initialize the weights of a feedforward neural network allows backpropagation to work effectively in much deeper networks and it leads to much better generalization. A stack of RBMs can also be used to initialize a deep Boltzmann machine that has many hidden layers. Combining this initialization method with a new method for fine-tuning the weights finally leads to the first efficient way of training Boltzmann machines with many hidden layers and millions of weights. (shrink)

Schizophrenia is associated with a series of visual perception impairments, which might impact on the patients’ every day life and be related to clinical symptoms. However, the heterogeneity of the visual disorders make it a challenge to understand both the mechanisms and the consequences of these impairments, i.e., the way patients experience the outer world. Based on earlier psychiatry literature, we argue that issues regarding time might shed a new light on the disorders observed in patients with schizophrenia.We will briefly (...) review the mechanisms involved in the sense of time continuity and clinical evidence that they are impaired in patients with schizophrenia.We will then summarize a recent experimental approach regarding the coding of time-event structure in time, namely the ability to discriminate between simultaneous and asynchronous events. The use of an original method of analysis allowed us to distinguish between explicit and implicit judgments of synchrony.We showed that for SOAs below 20ms neither patients nor controls fuse events in time. On the contrary subjects distinguish events at an implicit level even when judging them as synchronous. In addition, the implicit responses of patients and controls differ qualitatively. It is as if controls always put more weight on the last occurred event, whereas patients have a difficulty to follow events in time at an implicit level. In patients, there is a clear dissociation between results at short and large asynchronies, that suggest selective mechanisms for the implicit coding of time-event structure. These results might explain the disruption of the sense of time continuity in patients.We argue that this line of research might also help us to better understand the mechanisms of the visual impairments in patients and how they see their environment. (shrink)

There are more refugees than many states have a duty to accept. As a result, many states are permitted to accept only some refugees and not others. This raises the question of how states should select these refugees. I defend the claim that states should resettle the worst‐off refugees, and maximize the number of refugees gaining a sufficiently decent life. When resettling the worst off conflicts with maximising the number gaining a sufficiently decent life, states should select refugees to maximise (...) aggregate benefits, with benefits holding greater weight the further refugees are from a sufficiency threshold. The only exception to this rule is when it entails wrongful discrimination, in which case states should only follow this rule if victims of discrimination benefit and consent to its implementation. (shrink)

The quantization error in a fixed-size Self-Organizing Map (SOM) with unsupervised winner-take-all learning has previously been used successfully to detect, in minimal computation time, highly meaningful changes across images in medical time series and in time series of satellite images. Here, the functional properties of the quantization error in SOM are explored further to show that the metric is capable of reliably discriminating between the finest differences in local contrast intensities and contrast signs. While this capability of the QE is (...) akin to functional characteristics of a specific class of retinal ganglion cells (the so-called Y-cells) in the visual systems of the primate and the cat, the sensitivity of the QE surpasses the capacity limits of human visual detection. Here, the quantization error in the SOM is found to reliably signal changes in contrast or colour when contrast information is removed from or added to the image, but not when the amount and relative weight of contrast information is constant and only the local spatial position of contrast elements in the pattern changes. While the RGB Mean reflects coarser changes in colour or contrast well enough, the SOM-QE is shown to outperform the RGB Mean in the detection of single-pixel changes in images with up to five million pixels. This could have important implications in the context of unsupervised image learning and computational building block approaches to large sets of image data (big data). (shrink)

Continence is a key moment of care that can tell us about the wider care of people living with dementia within acute hospital wards. The spotlight is currently on the quality of hospital care of older people across the UK, yet concerns persist about their poor treatment, neglect, abuse, and discrimination within this setting. Thus, within hospitals, the care of people living with dementia is both a welfare issue and a human rights issue. The challenge of continence care for (...) people living with dementia can be seen as the ‘canary in the coal mine’ for the unravelling of dignity within the acute setting. This paper draws on an ethnographic study within five hospitals in England and Wales, selected to represent a range of hospital types, geographies and socio‐economic catchments. Observational fieldwork was carried out over 154 days in acute hospitals known to admit large numbers of people living with dementia. This paper starts to fill the gap between theory and data by providing an in‐depth ethnographic analysis examining the ways in which treatment as a person is negotiated, achieved or threatened. We examine how the twin assaults on agency of a diagnosis of dementia and of incontinence threaten personhood. The acute threats to this patient group may then act to magnify perils to treatment as a person. Our findings suggest that personal dignity and the social construction of moral personhood are both threatened and maintained in such a setting. We show how empirical ethnographic data can lend weight to, and add detail to, theoretical accounts of moral personhood and dignity. (shrink)

Many people believe that a person's sexual orientation is genetic. Given the widespread prejudice against, and hatred of, homosexuals in many societies, it seems likely that many parents will be interested in using genetic technologies to prevent the birth of children who will not be heterosexual. This paper considers the moral and legal implications of such procedures (whether or not they would work). It is argued that the availability of procedures to select the sexual orientation of children would contribute to (...) discrimination and prejudice against lesbians, gay men and bisexuals and, more generally, undermine the maintenance of a just society. These effects carry significant weight in determining whether genetic technologies should be developed and whether their use is, or should be, legally permissible and morally acceptable. (shrink)

A crucial socio-political challenge for our age is how to rede!ne or extend group membership in such a way that it adequately responds to phenomena related to globalization like the prevalence of migration, the transformation of family and social networks, and changes in the position of the nation state. Two centuries ago Immanuel Kant assumed that international connectedness between humans would inevitably lead to the realization of world citizen rights. Nonetheless, globalization does not just foster cosmopolitanism but simultaneously yields the (...) development of new group boundaries. Group membership is indeed a fundamental issue in political processes, for: “the primary good that we distribute to one another is membership in some human community” – it is within the political community that power is being shared and, if possible, held back from non-members. In sum, it is appropriate to consider group membership a fundamental ingredient of politics and political theory. How group boundaries are drawn is then of only secondary importance. Indeed, Schmitt famously declared that “[e]very religious, moral, economic, ethical, or other antithesis transforms into a political one if it is suffciently strong to group human beings e#ectively according to friend and enemy”. Even though Schmitt’s idea of politics as being constituted by such antithetical groupings is debatable, it is plausible to consider politics among other things as a way of handling intergroup di#erences. Obviously, some of the group-constituting factors are more easily discernable from one’s appearance than others, like race, ethnicity, or gender. As a result, factors like skin color or sexual orientation sometimes carry much political weight even though individuals would rather con!ne these to their private lives and individual identity. Given the potential tension between the political reality of particular groupmembership defnitions and the – individual and political – struggles against those definitions and corresponding attitudes, citizenship and civic behavior becomes a complex issue. As Kymlicka points out, it implies for citizens an additional obligation to non-discrimination regarding those groups: “[t]his extension of non-discrimination from government to civil society is not just a shift in the scale of liberal norms, it also involves a radical extension in the obligations of liberal citizenship”. Unfortunately, empirical research suggests that political intolerance towards other groups “may be the more natural and ‘easy’ position to hold”. Indeed, since development of a virtue of civility or decency regarding other groups is not easy, as it often runs against deeply engrained stereotypes and prejudices, political care for matters like education is justified. Separate schools, for example, may erode children’s motivation to act as citizens, erode their capacity for it and!nally diminish their opportunities to experience transcending their particular group membership and behave as decent citizens. This chapter outlines a possible explanation for such consequences. That explanation will be found to be interdisciplinary in nature, combining insights from political theory and cognitive neuroscience. In doing so, it does not focus on collective action, even though that is a usual focus for political studies. For example, results pertaining to collective political action have demonstrated that the relation between attitudes and overt voting behavior or political participation is not as direct and strong as was hoped for. Several conditions, including the individual’s experiences, self-interest, and relevant social norms, turned out to interfere in the link between his or her attitude and behavior. Important as collective action is, this chapter is concerned with direct interaction between agents and the in$uence of group membership on such interaction – in particular joint action. Although politics does include many forms of action that require no such physical interaction, such physical interaction between individuals remains fundamental to politics – this is the reason why separate schooling may eventually undermine the citizenship of its isolated pupils. This chapter will focus on joint action, de!ned as: “any form of social interaction whereby two or more individuals coordinate their actions in space and time to bring about a change in the environment”. Cognitive neuroscienti!c evidence demonstrates that for such joint action to succeed, the agents have to integrate the actions and expected actions of the other person in their own action plans at several levels of speci!city. Although neuroscienti!c research is necessarily limited to simple forms of action, this concurs with a philosophical analysis of joint action, which I will discuss below. (shrink)

Person reidentification aims to recognize a specific pedestrian from uncrossed surveillance camera views. Most re-id methods perform the retrieval task by comparing the similarity of pedestrian features extracted from deep learning models. Therefore, learning a discriminative feature is critical for person reidentification. Many works supervise the model learning with one or more loss functions to obtain the discriminability of features. Softmax loss is one of the widely used loss functions in re-id. However, traditional softmax loss inherently focuses on the feature (...) separability and fails to consider the compactness of within-class features. To further improve the accuracy of re-id, many efforts are conducted to shrink within-class discrepancy as well as between-class similarity. In this paper, we propose a circle-based ratio loss for person re-identification. Concretely, we normalize the learned features and classification weights to map these vectors in the hypersphere. Then we take the ratio of the maximal intraclass distance and the minimal interclass distance as an objective loss, so the between-class separability and within-class compactness can be optimized simultaneously during the training stage. Finally, with the joint training of an improved softmax loss and the ratio loss, the deep model could mine discriminative pedestrian information and learn robust features for the re-id task. Comprehensive experiments on three re-id benchmark datasets are carried out to illustrate the effectiveness of the proposed method. Specially, 83.12% mAP on Market-1501, 71.66% mAP on DukeMTMC-reID, and 66.26%/63.24% mAP on CUHK03 labeled/detected are achieved, respectively. (shrink)

When visual attention is directed away from a stimulus, neural processing is weak and strength and precision of sensory data decreases. From a computational perspective, in such situations observers should give more weight to prior expectations in order to behave optimally during a discrimination task. Here we test a signal detection theoretic model that counter-intuitively predicts subjects will do just the opposite in a discrimination task with two stimuli, one attended and one unattended: when subjects are probed (...) to discriminate the unattended stimulus, they rely less on prior information about the probed stimulus’ identity. The model is in part inspired by recent findings that attention reduces trial-by-trial variability of the neuronal population response and that they use a common criterion for attended and unattended trials. In five different visual discrimination experiments, when attention was directed away from the target stimulus, subjects did not adjust their response bias in reaction to a change in stimulus presentation frequency despite being fully informed and despite the presence of performance feedback and monetary and social incentives. This indicates that subjects did not rely more on the priors under conditions of inattention as would be predicted by a Bayes-optimal observer model. These results inform and constrain future models of Bayesian inference in the human brain. (shrink)

I contend in this essay that there are theological and ethical problems associated with the application of the vices of "gluttony" and "sloth" to people of higher-than-average weight. Relying on an analysis grounded in liberation theology and fat studies, I call for the church to encourage an end to discrimination based on bodily shape and size. I draw from poststructuralist theory, biblical studies, and church historical resources as well as contemporary medical and sociological studies of diet to build (...) my case. I then use the vices of "gluttony" and "sloth" as a lens through which to understand the contributions of the food industry to global weight and health patterns. (shrink)