The lattice of r.e. equivalence relations has not been carefully examined even though r.e. equivalence relations have proved useful in logic. A maximal r.e. equivalence relation has the expected lattice theoretic definition. It is proved that, in every pair of r.e. nonrecursive Turing degrees, there exist maximal r.e. equivalence relations which intersect trivially. This is, so far, unique among r.e. submodel lattices.

Jessica Flanigan argues that individuals have the right to self-medicate. Flanigan presents two arguments in defense of this right. The first she calls the epistemic argument and the second she calls the rights-based argument. I argue that the right to self-medicate hangs and falls on the rights-based argument. This is because for the epistemic argument to be sound agents must be assumed to be epistemically competent. But, Flanigan’s argument for a constitutionally mandated right to self-medicate models agents as epistemically incompetent. (...) For Flanigan, agents are different at the pharmacy than they are at the polls. I identify this behavioral asymmetry and advocate a symmetric and realistic behavioral postulate for both arguments. The result, however, is that the success of the epistemic argument becomes contingent which fails to justify a constitutionally mandated right. I proceed to raise skepticism about the rights-based argument as well. I conclude that there is reason to be skeptical that these arguments can justify a constitutionally mandated right to self-medicate. Ultimately, a bottom-up approach to pharmaceutical ethics is preferable. (shrink)

This paper addresses the debate surrounding epistocracy. While many discussions of epistocracy focus on its instrumental defenses, this paper aims to critically examine the non-instrumental jury argument offered by Jason Brennan. Brennan’s argument equates the rights of individuals in political decisions to their rights in jury decisions, asserting that just as individuals have a right to a competent jury, they likewise have a right to a competent electorate. We disagree. By juxtaposing the costs of enforcing such rights and the severity (...) of the harm prevented by their enforcement, this paper argues in favor of maintaining the right to a competent jury while denying the existence of a right to a competent electorate. The central claim is that while securing a competent jury is feasible and vital, attempting to secure a competent electorate poses significant challenges and may prevent less significant harm than perceived. (shrink)

This festschrift collects a number of insightful essays by a group of accomplished Christian scholars, all of who have either worked with or studied under Hendrik Hart during his 35-year tenure as Senior Member in Systematic Philosophy at the Institute for Christian Studies, Toronto, Canada.

The idea of a new aestheticism is now explicit in both philosophical aesthetics and cultural theory with the publication of Gary Iseminger's The Aesthetic Function of Art and an anthology of essays edited by John Joughin and Simon Malpas critiquing the anti-aestheticism of literary theory. Both are significant in marking a wider trend reacting to, broadly speaking, intellectualised and historicised accounts of art, refocusing on the idea of appreciation itself, and working away from the emphasis on ideology and disregard for (...) the particularity of works in, especially, literary theory. This broader context also includes renewed debates running within philosophical aesthetics about non-perceptual aesthetic properties and the aesthetic experience of conceptual artworks, and about beauty in art, considerations that have engaged two philosophers normally identified by their commitment to art theoretical and historical (and by extension, non-aesthetic) accounts of artistic making and viewing, namely Noël Carroll and Arthur Danto. So Carroll acknowledges that what's at stake is an aesthetic theory of art that is potentially 'back in business', while Danto's 'surprising' theoretic re-engagement with the concept of beauty has been noted by Diarmuid Costello. (shrink)

Deep neural networks (DNNs) have had extraordinary successes in classifying photographic images of objects and are often described as the best models of biological vision. This conclusion is largely based on three sets of findings: (1) DNNs are more accurate than any other model in classifying images taken from various datasets, (2) DNNs do the best job in predicting the pattern of human errors in classifying objects taken from various behavioral datasets, and (3) DNNs do the best job in predicting (...) brain signals in response to images taken from various brain datasets (e.g., single cell responses or fMRI data). However, these behavioral and brain datasets do not test hypotheses regarding what features are contributing to good predictions and we show that the predictions may be mediated by DNNs that share little overlap with biological vision. More problematically, we show that DNNs account for almost no results from psychological research. This contradicts the common claim that DNNs are good, let alone the best, models of human object recognition. We argue that theorists interested in developing biologically plausible models of human vision need to direct their attention to explaining psychological findings. More generally, theorists need to build models that explain the results of experiments that manipulate independent variables designed to test hypotheses rather than compete on making the best predictions. We conclude by briefly summarizing various promising modeling approaches that focus on psychological data. (shrink)

This new selection of Thoreau’s essays traces his trajectory as a writer for the outlets of his day—the periodical press, newspapers, and compendiums—and as a frequent presenter on the local lecture circuit. By arranging the writings chronologically, the volume re-creates the experience of Thoreau’s readers as they followed his developing ideas over time. Jeffrey S. Cramer, award-winning editor of six previous volumes of works by Thoreau, offers the most accurate text available for each essay and provides convenient on-page annotations. (...) He establishes context and guides the reader through unfamiliar allusions and references, plumbing the depths of Thoreau’s writings with unprecedented insight. Among the essays in this book: · The Last Days of John Brown · Resistance to Civil Government [Civil Disobedience] · Thomas Carlyle and His Works · Natural History of Massachusetts · and many more. (shrink)

This new selection of Thoreau’s essays traces his trajectory as a writer for the outlets of his day—the periodical press, newspapers, and compendiums—and as a frequent presenter on the local lecture circuit. By arranging the writings chronologically, the volume re-creates the experience of Thoreau’s readers as they followed his developing ideas over time. Jeffrey S. Cramer, award-winning editor of six previous volumes of works by Thoreau, offers the most accurate text available for each essay and provides convenient on-page annotations. (...) He establishes context and guides the reader through unfamiliar allusions and references, plumbing the depths of Thoreau’s writings with unprecedented insight. Among the essays in this book: · The Last Days of John Brown · Resistance to Civil Government [Civil Disobedience] · Thomas Carlyle and His Works · Natural History of Massachusetts · and many more. (shrink)

A fundamental claim associated with parallel distributed processing theories of cognition is that knowledge is coded in a distributed manner in mind and brain. This approach rejects the claim that knowledge is coded in a localist fashion, with words, objects, and simple concepts, that is, coded with their own dedicated representations. One of the putative advantages of this approach is that the theories are biologically plausible. Indeed, advocates of the PDP approach often highlight the close parallels between distributed representations learned (...) in connectionist models and neural coding in brain and often dismiss localist theories as biologically implausible. The author reviews a range a data that strongly challenge this claim and shows that localist models provide a better account of single-cell recording studies. The author also contrast local and alternative distributed coding schemes and argues that common rejection of grandmother cell theories in neuroscience is due to a misunderstanding about how localist models behave. The author concludes that the localist representations embedded in theories of perception and cognition are consistent with neuroscience; biology only calls into question the distributed representations often learned in PDP models. (shrink)

This paper argues that the notion of value has been overly simplified and narrowed to focus on economic returns. Stakeholder theory provides an appropriate lens for considering a more complex perspective of the value that stakeholders seek as well as new ways to measure it. We develop a four-factor perspective for defining value that includes, but extends beyond, the economic value stakeholders seek. To highlight its distinctiveness, we compare this perspective to three other popular performance perspectives. Recommendations are made regarding (...) performance measurement for both academic researchers and practitioners. The stakeholder perspective on value offered in this paper draws attention to those factors that are most closely associated with building more value for stakeholders, and in so doing, allows academics to better measure it and enhances managerial ability to create it. (shrink)

Data science, and the related field of big data, is an emerging discipline involving the analysis of data to solve problems and develop insights. This rapidly growing domain promises many benefits to both consumers and businesses. However, the use of big data analytics can also introduce many ethical concerns, stemming from, for example, the possible loss of privacy or the harming of a sub-category of the population via a classification algorithm. To help address these potential ethical challenges, this paper maps (...) and describes the main ethical themes that were identified via systematic literature review. It then identifies a possible structure to integrate these themes within a data science project, thus helping to provide some structure in the on-going debate with respect to the possible ethical situations that can arise when using data science analytics. (shrink)

The stakeholder perspective has provided a rich forum for a variety of debates at the intersection of business and society. Scholars gathered for two consecutive years, first in North America, and then in Europe, to discuss the major issues surrounding what has come to be known as stakeholder theory, to attempt to find common ground, and to uncover areas in need of further inquiry. Those meetings led to a list of “tensions” and a call for papers for this special issue (...) to help address them. In this article, we introduce the resulting articles and provide some brief commentary on their importance. We end with a few of our own observations about the stakeholder perspective and stakeholder research. (shrink)

Stakeholder theory focuses on how more value is created if stakeholder relationships are governed by ethical principles such as integrity, respect, fairness, generosity and inclusiveness. However, it has not adequately addressed strategies that stakeholders perceive as harmful to their interests and how this perception can even lead some stakeholders to view the firm’s strategies as unethical. To fill the void, this paper directly addresses strategies that stakeholders perceive as harmful to their interests, or what we refer to as harmful stakeholder (...) strategies. Specifically, it identifies factors associated with stakeholder perceptions of harm that are likely to cause them to consider a strategy unethical, examines the negative implications for firms that pursue such strategies in terms of likely stakeholder responses and damage to stakeholder relationships, and provides theory to help explain how firms are likely to respond to stakeholder claims that a strategy is unethical, based on factors such as the strategic importance of the claim to the firm, how long the strategy has been in use, the costs of remediation, the risk of stakeholder mobilization or new regulation, and whether firms can reasonably rationalize their actions. Assessing harm allows a firm to make a more accurate estimate of the costs of a strategy and can assist managers in allocating resources intended to reduce or remediate harm. (shrink)

In this article, we discuss a hypothesis to explain the preferential synthesis of the superoxide sensitive form of aconitase in mitochondria and the phenotype observed in manganese superoxide dismutase mutant mice, which show a gross over accumulation of stored fat in liver. The model proposes that intermediary metabolism is redox regulated by mitochondrial superoxide generated during mitochondrial respiration. This regulates the level of reducing equivalents (NADH) entering the electron transport chain (ETC) through the reversible inactivation of mitochondrial aconitase. This control (...) mechanism has a dual function; firstly, it regulates levels of superoxide generated by the ETC and, secondly, it fine‐tunes metabolism by channeling citrate either for the production of NADH for energy metabolism or diverting it for the synthesis of fats. In this setting, the mitochondrial redox state influences metabolic decisions via a superoxide–aconitase rheostat. BioEssays 26:894–900, 2004. © 2004 Wiley Periodicals, Inc. (shrink)

The aim of this paper is to examine the usefulness of the Machamer, Darden, and Craver (2000) mechanism approach to gaining an understanding of explanation in cognitive neuroscience. We argue that although the mechanism approach can capture many aspects of explanation in cognitive neuroscience, it cannot capture everything. In particular, it cannot completely capture all aspects of the content and significance of mental representations or the evaluative features constitutive of psychopathology.

Abstract:Extrapolating from Carroll’s four domains of corporate social responsibility (1979) and Pyramid of CSR (1991), an alternative approach to conceptualizing corporate social responsibility (CSR) is proposed. A three-domain approach is presented in which the three core domains of economic, legal, and ethical responsibilities are depicted in a Venn model framework. The Venn framework yields seven CSR categories resulting from the overlap of the three core domains. Corporate examples are suggested and classified according to the new model, followed by a (...) discussion of limitations and teaching and research implications. (shrink)

Sibley et al. (2008) report a recurrent neural network model designed to learn wordform representations suitable for written and spoken word identification. The authors claim that their sequence encoder network overcomes a key limitation associated with models that code letters by position (e.g., CAT might be coded as C‐in‐position‐1, A‐in‐position‐2, T‐in‐position‐3). The problem with coding letters by position (slot‐coding) is that it is difficult to generalize knowledge across positions; for example, the overlap between CAT and TOMCAT is lost. Although we (...) agree this is a critical problem with many slot‐coding schemes, we question whether the sequence encoder model addresses this limitation, and we highlight another deficiency of the model. We conclude that alternative theories are more promising. (shrink)

Recent perspectives on community investments suggest that they are opportunities for firms to create value for shareholders and other stakeholders. However, many corporate managers are still influenced by a widely held belief that such investments erode profits and are therefore unjustifiable from an agency perspective. In this paper, we refine and test theory regarding countervailing forces that influence community-based firm performance. We hypothesize that high levels of available slack will be associated with higher community-based performance, but that this relationship will (...) be moderated by three important governance variables: board independence, investment fund ownership, and CEO ownership. We find support for our hypotheses in longitudinal study of a large sample of U.S. corporations. (shrink)

Do firms respond to changes in economic growth by altering their corporate social responsibility programs? If they do respond, are their responses simply neglect of areas associated with corporate social performance or do they also cut back on positive programs such as profit sharing, public/private housing programs, or charitable contributions? In this paper, we argue that because CSP-related actions and programs tend to be discretionary, they are likely to receive less attention during tough economic times, a result of cost-cutting efforts. (...) However, the various CSP performance areas vary in terms of their resource requirements and their influence on financial performance, which suggests that firms may respond differently depending on area. Consequently, in addition to examining CSP concerns separately from positive actions and programs, we also examine the influence of economic growth across the five areas of diversity, employee relations, the environment, product quality/safety, and the community. Based on data from 837 firms over 15 years, our results suggest that firms neglect some areas associated with CSP during economic downturns, resulting in increased concerns about community and employee relations, product safety/quality, and the environment. However, this relationship does not apply to positive actions and programs. Instead, firms tend to increase their positive CSP programs in areas such as diversity, employee relations, and the environment during periods of slow economic growth and reduce them when the economy picks up. We offer potential explanations for our findings and discuss their importance to research on CSP. (shrink)

On several key issues we agree with the commentators. Perhaps most importantly, everyone seems to agree that psychology has an important role to play in building better models of human vision, and (most) everyone agrees (including us) that deep neural networks (DNNs) will play an important role in modelling human vision going forward. But there are also disagreements about what models are for, how DNN–human correspondences should be evaluated, the value of alternative modelling approaches, and impact of marketing hype in (...) the literature. In our view, these latter issues are contributing to many unjustified claims regarding DNN–human correspondences in vision and other domains of cognition. We explore all these issues in this response. (shrink)