John Dewey is a philosopher who seems perpetually on the verge of rhetoric. He displays a continual interest in the necessity of communication for democracy, and yet he often remains vague as to what shape such communication should take. While this would seem to limit his usefulness for rhetoricians, the opposite has proven true. As scholars of rhetoric, we now find ourselves in the midst of a renaissance in studies of Dewey. Trained Capacities: John Dewey, Rhetoric, and Democratic Practice seeks (...) to both consolidate the gains made by such scholarship and further encourage rhetoricians’ interest in Dewey’s work. Namely, the various authors in this volume concern themselves with treating Dewey’s.. (shrink)

This paper describes an AFOSR-supported basic research program that focuses on developing a new framework for combining hard with soft data in order to improve space situational awareness. The goal is to provide, in an automatic and near real-time fashion, a ranking of possible threats to blue assets (assets trying to be protected) from red assets (assets with hostile intentions). The approach is based on Conceptual Spaces models, which combine features from traditional associative and symbolic cognitive models. While Conceptual Spaces (...) are revolutionary, they lack an underlying mathematical framework. Several such frameworks have attempted to represent Conceptual Spaces, but by far the most robust is the model developed by Holender. His model utilizes integer linear programming in order to obtain an overall similarity value between observations and concepts that support the formation of hypotheses. This paper will describe a method for building Conceptual Spaces models for threats that utilizes ontologies as a means to provide a clear semantic foundation for this inferencing process; in particular threat ontologies and space domain ontologies are developed and employed in this approach. A space situational awareness use-case is presented involving a kinetic kill scenario and results are shown to assess the performance of this fusion-based inferencing framework. (shrink)

This paper provides a method for characterizing space events using the framework of conceptual spaces. We focus specifically on estimating and ranking the likelihood of collisions between space objects. The objective is to design an approach for anticipatory decision support for space operators who can take preventive actions on the basis of assessments of relative risk. To make this possible our approach draws on the fusion of both hard and soft data within a single decision support framework. Contextual data is (...) also taken into account, for example data about space weather effects, by drawing on the Space Domain Ontologies, a large system of ontologies designed to support all aspects of space situational awareness. The framework is coupled with a mathematical programming scheme that frames a mathematically optimal approach for decision support, providing a quantitative basis for ranking potential for collision across multiple satellite pairs. The goal is to provide the broadest possible information foundation for critical assessments of collision likelihood. (shrink)

Slurring is a kind of hate speech that has various effects. Notable among these is variable offence. Slurs vary in offence across words, uses, and the reactions of audience members. Patterns of offence aren’t adequately explained by current theories. We propose an explanation based on the unjust power imbalance that a slur seeks to achieve. Our starting observation is that in discourse participants take on discourse roles. These are typically inherited from social roles, but only exist during a discourse. A (...) slurring act is a speech-act that alters the discourse roles of the target and speaker. By assigning discourse roles the speaker unjustly changes the power balance in the dialogue. This has a variety of effects on the target and audience. We show how these notions explain all three types of offence variation. We also briefly sketch how a role and power theory can help explain silencing and appropriation. Explanatory power lies in the fact that offence is correlated with the perceived unjustness of the power imbalance created. (shrink)

Achieving space domain awareness requires the identification, characterization, and tracking of space objects. Storing and leveraging associated space object data for purposes such as hostile threat assessment, object identification, and collision prediction and avoidance present further challenges. Space objects are characterized according to a variety of parameters including their identifiers, design specifications, components, subsystems, capabilities, vulnerabilities, origins, missions, orbital elements, patterns of life, processes, operational statuses, and associated persons, organizations, or nations. The Space Object Ontology provides a consensus-based realist framework (...) for formulating such characterizations in a computable fashion. Space object data are aligned with classes and relations in the Space Object Ontology and stored in a dynamically updated Resource Description Framework triple store, which can be queried to support space domain awareness and the needs of spacecraft operators. This paper presents the core of the Space Object Ontology, discusses its advantages over other approaches to space object classification, and demonstrates its ability to combine diverse sets of data from multiple sources within an expandable framework. Finally, we show how the ontology provides benefits for enhancing and maintaining longterm space domain awareness. (shrink)

The overall goal of the approach developed in this paper is to estimate the likelihood of a given kinetic kill scenario between hostile spacebased adversaries using the mathematical framework of Complex Conceptual Spaces Single Observation. Conceptual spaces are a cognitive model that provide a method for systematically and automatically mimicking human decision making. For accurate decisions to be made, the fusion of both hard and soft data into a single decision framework is required. This presents several challenges to this data (...) fusion framework. The first is the challenge involved in handling multiple complex terminologies, which is addressed by drawing on a set of Space Domain Ontologies. Another challenge is the complex combinatorics involved when considering all possible feature combinations. This can be mitigated by using integer linear programming optimization that is outlined by the Complex Conceptual Spaces Single Observation mathematical model framework. A third challenge is the complicated physics that is involved in a spacecraft collision that must be addressed to obtain a better understanding of threat assessment. Overcoming these various challenges allows for a quantitative ranking for the potential of a kinetic kill collision across multiple spacecraft pairs. In addition to overcoming these challenges this paper will break down threat assessment into four domains and identify a ranking of threat both for each individual domain and for the four domains combined. Simulation results are shown to verify the developed concepts. (shrink)

Achieving space situational awareness requires, at a minimum, the identification, characterization, and tracking of space objects. Leveraging the resultant space object data for purposes such as hostile threat assessment, object identification, and conjunction assessment presents major challenges. This is in part because in characterizing space objects we reference a variety of identifiers, components, subsystems, capabilities, vulnerabilities, origins, missions, orbital elements, patterns of life, operational processes, operational statuses, and so forth, which tend to be defined in highly heterogeneous and sometimes inconsistent (...) ways. The Space Domain Ontologies are designed to provide a consensus-based realist framework for formulating such characterizations in a way that is both consistent and computable. Space object data are aligned with classes and relations in a suite of ontologies built around the existing Space Object Ontology. They are stored in a dynamically updated Resource Description Framework triple store, which can be queried to support space situational awareness and the needs of spacecraft operators and analysts. This paper provides an overview of the Space Domain Ontologies and their development and use. It presents the motivation for and advantages of the Space Domain Ontologies, including the benefits they provide for enhancing and maintaining long-term space situational awareness. (shrink)

We present a one per cent measurement of the cosmic distance scale from the detections of the baryon acoustic oscillations in the clustering of galaxies from the Baryon Oscillation Spectroscopic Survey, which is part of the Sloan Digital Sky Survey III. Our results come from the Data Release 11 sample, containing nearly one million galaxies and covering approximately 8500 square degrees and the redshift range 0.2 < z < 0.7. We also compare these results with those from the publicly released (...) DR9 and DR10 samples. Assuming a concordance Λ cold dark matter cosmological model, the DR11 sample covers a volume of 13 Gpc3 and is the largest region of the Universe ever surveyed at this density. We measure the correlation function and power spectrum, including density-field reconstruction of the BAO feature. The acoustic features are detected at a significance of over 7σ in both the correlation function and power spectrum. Fitting for the position of the acoustic features measures the distance relative to the sound horizon at the drag epoch, rd, which has a value of rd,fid = 149.28 Mpc in our fiducial cosmology. We find DV = at z = 0.32 and DV = at z = 0.57. At 1.0 per cent, this latter measure is the most precise distance constraint ever obtained from a galaxy survey. Separating the clustering along and transverse to the line of sight yields measurements at z = 0.57 of DA = and H =. Our measurements of the distance scale are in good agreement with previous BAO measurements and with the predictions from cosmic microwave background data for a spatially flat CDM model with a cosmological constant. © 2014 The Author Published by Oxford University Press on behalf of the Royal Astronomical Society. (shrink)

Many psychological studies of categorization and reasoning use undergraduates to make claims about human conceptualization. Generalizability of findings to other populations is often assumed but rarely tested. Even when comparative studies are conducted, it may be challenging to interpret differences. As a partial remedy, in the present studies we adopt a 'triangulation strategy' to evaluate the ways expertise and culturally different belief systems can lead to different ways of conceptualizing the biological world. We use three groups (US bird experts, US (...) undergraduates, and ordinary Itza' Maya) and two sets of birds (North American and Central American). Categorization tasks show considerable similarity among the three groups' taxonomic sorts, but also systematic differences. Notably, US expert categorization is more similar to Itza' than to US novice categorization. The differences are magnified on inductive reasoning tasks where only undergraduates show patterns of judgment that are largely consistent with current models of category-based taxonomic inference. The Maya commonly employ causal and ecological reasoning rather than taxonomic reasoning. Experts use a mixture of strategies (including causal and ecological reasoning), only some of which current models explain. US and Itza' informants differed markedly when reasoning about passerines (songbirds), reflecting the somewhat different role that songbirds play in the two cultures. The results call into question the importance of similarity-based notions of typicality and central tendency in natural categorization and reasoning. These findings also show that relative expertise leads to a convergence of thought that transcends cultural boundaries and shared experiences. (shrink)

During the COVID-19 pandemic, the media have repeatedly praised healthcare workers for their ‘heroic’ work. Although this gratitude is undoubtedly appreciated by many, we must be cautious about overuse of the term ‘hero’ in such discussions. The challenges currently faced by healthcare workers are substantially greater than those encountered in their normal work, and it is understandable that the language of heroism has been evoked to praise them for their actions. Yet such language can have potentially negative consequences. Here, I (...) examine what heroism is and why it is being applied to the healthcare workers currently, before outlining some of the problems associated with the heroism narrative currently being employed by the media. Healthcare workers have a clear and limited duty to treat during the COVID-19 pandemic, which can be grounded in a broad social contract and is strongly associated with certain reciprocal duties that society has towards healthcare workers. I argue that the heroism narrative can be damaging, as it stifles meaningful discussion about what the limits of this duty to treat are. It fails to acknowledge the importance of reciprocity, and through its implication that all healthcare workers have to be heroic, it can have negative psychological effects on workers themselves. I conclude that rather than invoking the language of heroism to praise healthcare workers, we should examine, as a society, what duties healthcare workers have to work in this pandemic, and how we can support them in fulfilling these. (shrink)

Although workplace bullying is common and has universally harmful effects on employees’ outcomes, little is known about workplace bullies. To address this gap in knowledge, we draw from the tenets of social exchange and displaced aggression theories in order to develop and test a model of workplace bullying that incorporates the effects of employees’ individual differences, perceptions of their work environments, and perceptions of supervisory treatment on their tendencies to bully coworkers. The results of mediated moderation analyses that examine responses (...) from two samples of working adults support our hypotheses. Specifically, we find evidence of an indirect relationship between entitlement and coworker bullying through perceptions of abusive supervision that is stronger for employees who report lower levels of felt accountability than employees who report higher levels of felt accountability. This study makes important theoretical and practical contributions to abusive supervision research, bullying research, and organizational efforts to promote ethical work environments devoid of interpersonal mistreatment by providing novel insight into how employees’ entitlement and felt accountability combine to influence their tendencies to perceive themselves as victims of abusive supervision and culprits of coworker bullying. (shrink)

Early life stress precedes alterations to neuro-immune activation, which may mediate an increased risk for stress-related psychiatric disorders, potentially through alterations of central kynurenine pathway metabolites, the latter being relatively unexplored. We hypothesized that ELS in a non-human primate model would lead to a reduction of neuroprotective and increases of neurotoxic KP metabolites. Twelve adult female bonnet macaques reared under conditions of maternal variable foraging demand were compared to 27 age- and weight-matched non-VFD-exposed female controls. Baseline behavioral observations of social (...) affiliation were taken over a 12-week period followed by the first cerebrospinal fluid sample. Subjects were then either exposed to a 12-week repeated separation paradigm or assigned to a “no-RSP” condition followed by a second CSF. We used high-performance liquid chromatography for kynurenine, tryptophan, 5-hydroxyindoleacetic acid, kynurenic acid, and anthranilic acid as a proxy for quinolinic acid determination. At baseline, social affiliation scores were reduced in VFD-reared versus control subjects. CSF log KYNA and log KYNA/KYN ratio were lower in VFD-reared versus control subjects. CSF log KYNA/KYN was positively correlated with CSF log ANTH in VFD only. Controlling for log KYNA/KYN, log ANTH was elevated in VFD-reared subjects versus controls. CSF log KYNA/KYN obtained post-RSP was positively correlated with mean social affiliation scores during RSP, specifically in VFD. ELS is associated with a reduced neuroprotective and increased neurotoxic pathway products. That the two contrasting processes are paradoxically correlated following ELS suggests a cross-talk between two opposing KP enzymatic systems. (shrink)

Previous work has shown that the Complex Conceptual Spaces − Single Observation Mathematical framework is a useful tool for event characterization. This mathematical framework is developed on the basis of Conceptual Spaces and uses integer linear programming to find the needed similarity values. The work of this paper is focused primarily on space event characterization. In particular, the focus is on the ranking of threats for malicious space events such as a kinetic kill. To make the Conceptual Spaces framework work, (...) the similarity values between the contents of observations on the one hand and the properties of the entities observed on the other needs to be found. This paper shows how to exploit Dempster-Shafer theory to implement a statistical approach for finding these similarities values. This approach will allow a user to identify the uncertainty involved in similarity value data, which can later be propagated through the developed mathematical model in order for the user to know the overall uncertainty in the observation-to-concept mappings needed for space event characterization. (shrink)

The concept of minimal risk has been used to regulate and limit participation by adolescents in clinical trials. It can be understood as setting an absolute standard of what risks are considered minimal or it can be interpreted as relative to the actual risks faced by members of the host community for the trial. While commentators have almost universally opposed a relative interpretation of the environmental risks faced by potential adolescent trial participants, we argue that the ethical concerns against the (...) relative standard may not be as convincing as these commentators believe. Our aim is to present the case for a relative standard of environmental risk in order to open a debate on this subject. We conclude by discussing how a relative standard of environmental risk could be defended in the specific case of an HIV vaccine trial among adolescents in South Africa. (shrink)

This paper examines several issues regarding deception in advertising. Some generally accepted definitions are considered and found to be inadequate. An alternative definition is proposed for legal/regulatory purposes and is related to a suggested definition of the term deception as it is used in everyday language. Based upon these definitions, suggestions are offered for detecting and regulating deception in advertising. This paper additionally considers the grounds for the generally held but largely unquestioned assumption that deceptive advertising is unethical. It is (...) argued that deceptive advertising can be shown to be morally objectionable, on the weak assumption that it is prima facie wrong to harm others. Finally, the implications of this analysis with respect to current regulation of deceptive advertising by the FTC are considered. (shrink)

This bibliography constitutes the most extensive compilation of references on Nathaniel Branden yet published.

The growing recognition by cognitive neuroscientists that areas of vertebrate brains may be reused for multiple purposes either functionally during development or during evolution echoes a similar realization made by neuroscientists working on invertebrates. Because of these animals' relatively more accessible nervous systems, neuronal reuse can be examined at the level of individual identified neurons and fully characterized neural circuits.

To practise ‘fairly and justly’ a clinician must balance the needs of both the many and the few: the individual patient in front of them, and the many unseen patients in the waiting room, and in the county. They must consider the immediate clinical needs of those in the present, and how their actions will impact on future patients. The good medical practice guidance ‘Make the care of your patient your first concern’ provides no guidance on how doctors should act (...) when they care for multiple patients with conflicting needs. Moreover, conflicting needs extend far past simply those between different patients. At an organisational level, financial obligations must be balanced with clinical ones; the system must support those who work within it in a variety of roles; and, finally, in order for a healthcare service to be sustainable, the demands of current and future generations must be balanced.The central problem, we propose, is that there is no shared philosophical framework on which the provision of care or the development of health policy is based, nor is there a practical, fair and transparent process to ensure that the service is equipped to deal justly with new challenges as they emerge. Many philosophers have grappled with constructing a set of principles which would lead to a ‘good’ society which is just to different users; prominent among them is Rawls.Four important principles can be derived using a Rawlsian approach: equity of access, distributive justice, sustainability and openness. However, Rawls’ approach is sometimes considered too abstract to be applied readily to policymaking; it does not provide clear guidance for how individuals working within existing institutions can enact the principles of justice. We therefore combine the principles derived from Rawls with Scanlonian contractualism: by demanding that decisions are made in a way which cannot be ‘reasonably rejected’ by different stakeholders, we ensure that conflicting needs are considered robustly.We demonstrate how embedding this framework would ensure just policies and fair practice. We illustrate this by using examples of how it would help prevent injustice among different socioeconomic groups, prevent intergenerational injustice and prevent injustice in a crisis, for example, as we respond to new challenges such as COVID-19.Attempts to help individual doctors practise fairly and justly throughout their professional lives are best focused at an institutional or systemic level. We propose a practical framework: combining Scanlonian contractualism with a Rawlsian approach. Adopting this framework would equip the workforce and population to contribute to fair policymaking, and would ultimately result in a healthcare system whose practice and policies—at their core—were just. (shrink)

In what follows I examine the following question: does it make a difference in moral psychology whether one adopts Aristotle's ordinary or Kant's revisionist definition of virtue as habit? Points of commensurability and critical comparison are provided by Kant's attempt to refute Aristotle's definition of virtue as a mean and by the moral problems of ignorance and weakness. These two problems are essential topics for moral psychology. I show two things. First, Kant's definition is revisionist because he excludes from moral (...) habit-formation what Aristotle includes, that is, practice in prudential calculation of a mean, and habit-formation by repetition. This follows from Kant's insistence that an act is virtuous only if the moral agent is willing freely and universally. Secondly, Aristotle's virtues modify behavior directly, whereas Kant's virtues modify behavior indirectly by creating moral feeling which, in turn, represses the temptations of the natural inclination. I suggest, thirdly, that as one approximates Kant's ideal of perfect virtue, entailed by the broad duties of beneficence and self-perfection, the difference in kind invented by Kant between virtue and prudence, as a morally neutral rational skill, erodes and becomes a difference in degree. I conclude that Aristotle's ordinary definition of virtue is better able to modify human behavior and solve these two moral problems. (shrink)

No fruitful discussion of the logic of religious belief can afford to ignore George Mavrodes' classification of propositional concepts, i.e. concepts predicable of propositions singly or in sets , as an analytical tool for pinning down the ‘person-oriented’ and ‘content-oriented’ factors in such ‘epistemic activities’ as religious proving, experiencing, and verifying. Mavrodes shows in particular that the formal model of logical soundness, i.e. valid form and true premises, has but limited application to proving, experiencing, and verifying as ways of giving (...) good reasons for religious belief. In this essay, I will show how Mavrodes' analysis of the logic of religious belief can be extended by substituting a procedural model of logical soundness for the truth-functionally formal model that he adopts. I will show further why it is desirable and, in certain instances, vital to extend his analysis in this manner. Along the way, I will explain why the extension that I am advocating augments Mavrodes' original analysis without substantially altering it or sacrificing any of its original analytical virtues. (shrink)

This book also examines the thinking of scholars within the Dutch, British and North American 'schools' of religious phenomenology.