While many philosophers of science have accorded special evidential significance to tests whose results are "novel facts", there continues to be disagreement over both the definition of novelty and why it should matter. The view of novelty favored by Giere, Lakatos, Worrall and many others is that of use-novelty: An accordance between evidence e and hypothesis h provides a genuine test of h only if e is not used in h's construction. I argue that what lies behind the intuition that (...) novelty matters is the deeper intuition that severe tests matter. I set out a criterion of severity akin to the notion of a test's power in Neyman-Pearson statistics. I argue that tests which are use-novel may fail to be severe, and tests that are severe may fail to be use-novel. I discuss the 1919 eclipse data as a severe test of Einstein's law of gravity. (shrink)

Drawing on a range of case studies worldwide, including 'profit with purpose' businesses such as co-operatives, this short guide reveals how to make a success of values. By unpacking what we mean by values and ethics, and setting out a series of practical approaches, Ed Mayo presents how values can become a natural part of commercial life. This book identifies both the pitfalls and the potential of bringing values into the heart of an organization, from a bank that responds (...) to an ethical crisis to a fast-growing worker co-operative founded on the values of equality. The values that guide your business are not necessarily the ones that are written down, or that you would expect. There is no right or wrong set of values, but there is power and potential in making the most of the values that are right for the business you are in. By reading Values: How to Bring Values to Life in Your Business, you will find out more about the business that you are, and the business that you could be." -- Back cover. (shrink)

In this article, the authors highlight connections between research on Two Spirit Native Americans and standard social studies curriculum. Two Spirit is a Pan-Indian term describing Native Americans who believe they embody both masculine and feminine characteristics/traits in one physical body. Findingsfrom this research expand the field's conception of multiple perspectives and diversity, while creating opportunities for nuanced understandings of genderexpression and gender that go beyond the male/female dichotomy currently accepted as the norm. The authors utilize historical research and a (...) semi-structured,in-depth interview with a current Ojibwe leader to better understand and theorize Native Americans' acceptance of diverse ways of being. The authors conclude that modern-day social studies teachers and students have much to learn from this traditional Native worldview. Specifically, the authors believe that encouraging students to adopt more inclusive perspectives on gender expression and to recognize the plausibility of multiple genders may lead to more advanced, social learning. Combined with reinforcement from responsible adults at school, this recognition would lessen a variety of present-day social ills, including the incidence of teen suicide caused by homophobia. (shrink)

Based in a holistic exposition and appraisal of Gramsci’s writings that are of relevance to education in neoliberal times, this book--rather than simply applying Gramsci's theories to issues in education--argues that education constitutes the leitmotif of his entire oeuvre and lies at the heart of his conceptualization of the ancient Greek term hegemony that was used by other political theorists before him. Starting from this understanding, the book goes on to compare Gramsci's theories with those of later thinkers in the (...) development of a critical pedagogy that can confront neoliberalism in all its forms. (shrink)

In order for online communities to assemble and grow, some basic infrastructure is necessary that makes possible the aggregation of the collective action. There is a very intimate and complex relationship between the technological infrastructure and the social character of the community which uses it. Today, most infrastructure is provided by corporations and the contrast between community and corporate dynamics is becoming increasingly pronounced. But rather than address the issues, the corporations are actively obfuscating it. Wikiwashing refers to a strategy (...) of corporate infrastructure providers where practices associated to their role of profit seeking corporations that would be seen as unethical by the communities they enable are concealed by promoting a misleading image of themselves associated with the general values of wikis and Wikipedia . The empirical analysis is based on case studies and triangulation of several methods. (shrink)

On the fundamental of Hindu philosophy with commentary in verse form.

Keller & Miller's (K&M's) conclusion appears to be correct; namely, that common, harmful, heritable mental disorders are largely maintained at present frequencies by mutation-selection balance at many different loci. However, their “paradox” is questionable. (Published Online November 9 2006).

Discussions of science and values in risk management have largely focused on how values enter into arguments about risks, that is, issues of acceptable risk. Instead this volume concentrates on how values enter into collecting, interpreting, communicating, and evaluating the evidence of risks, that is, issues of the acceptability of evidence of risk. By focusing on acceptable evidence, this volume avoids two barriers to progress. One barrier assumes that evidence of risk is largely a matter of objective scientific data and (...) therefore uncontroversial. The other assumes that evidence of risk, being "just" a matter of values, is not amenable to reasoned critique. Denying both extremes, this volume argues for a more constructive conclusion: understanding the interrelations of scientific and value issues enables a critical scrutiny of risk assessments and better public deliberation about social choices. The contributors, distinguished philosophers, policy analysts, and natural and social scientists, analyze environmental and medical controversies, and assumptions underlying views about risk assessment and the scientific and statistical models used in risk management. (shrink)

: The Centers for Disease Control and Prevention (CDC) has recommended that HIV testing be routinely offered to certain patients in hospitals with a high prevalence of HIV infection and on all pregnant women. The CDC does not, however, offer implementation level guidelines for obtaining informed consent. We provide a moral justification for requiring informed consent for HIV testing and propose guidelines for securing such consent. In particular we argue that genuine informed consent can be secured without elaborate counseling, such (...) as that currently used at Counseling and Testing Sites, provided that sufficient written notice is given to the patients before testing and that they are specifically asked for permission. (shrink)

Once upon a time, logic was the philosopher’s tool for analyzing scientific reasoning. Nowadays, probability and statistics have largely replaced logic, and their most popular application—Bayesianism—has replaced the qualitative deductive relationship between a hypothesis h and evidence e with a quantitative measure of h’s probability in light of e.

I begin with some elementary observations about assertion. In spite of recent criticisms of philosophers who have been too ready to take the subject-predicate indicative sentence as the standard form of assertion, there is no doubt that this form of sentence does represent something very fundamental about assertion. To put the matter in a rough-and-ready way: if we are to assert anything at all, it seems obvious that we must first draw our listener's attention to something that we propose to (...) talk about, and then, when we have secured his attention, go on to say something about that to which we have drawn attention. (shrink)

There is a wide gap, at any rate in the English-speaking world, between the people whose business it is to talk about the nature of poetry and those who are concerned with the critical analysis of language. Although both subjects are legitimate topics for philosophical discussion, there are few philosophers who combine a deep and effective interest in aesthetics with a concern in the problems of linguistic analysis. The analytical philosopher is only too ready to relegate poetry to the field (...) of “emotive” meaning; and, although “emotive” is a convenient term for marking off aspects of meaning with which the scientist is not concerned, it is also a means for keeping questions closed which ought to be opened. For it conceals the enormous differences which exist between various nonscientific uses of language. It does this behind an implicit suggestion that, since “emotions” are the province of the psychologist, any sort of inquiry into these uses of language will be merely a psychological inquiry. Poetry, of course, falls into this category of non-scientific uses of language, and a few psycho-analysts have accepted the commitment to discuss it; but on the whole its discussion is left to a very small band of aestheticians and a very large fraternity of literary critics. (shrink)

Of the many possible, and no doubt actual, forms of incoherence covered by my title, I shall be concerned with only one, and must begin by dismissing the others. The incoherence I shall speak of is not any alleged inconsistency between deterministic and indeterministic physical theories , such as between classical particle mechanics and quantum theory. It is an inconsistency internal to determinism. Not, that is, internal to any deterministic theory ; but to the general claims put forward by determinists—whether (...) scientists, philosophers, or laymen. Still another qualification—it is ‘hard’ determinism I shall be concerned with—‘hard’ in the sense in which William James distinguished between hard and soft determinism. Soft determinism James himself ridiculed as glaringly incoherent, and in any case I shall not be specially concerned with determinism as regards human conduct—with the problem of free will and responsibility. (shrink)

It is fashionable nowadays to discredit the theory of the general will, and an attempt to rehabilitate it is not likely to receive much sympathy. Nevertheless, I propose to give some reasons for adopting a more lenient attitude towards the theory, and to indicate some possible lines along which a rehabilitation might be conducted.

There is among many moral philosophers today a renewed emphasis on the connection between reason and morality, and an attempt to exhibit moral behaviour as characteristically rational. What is original in Mr. Kneale's extremely interesting paper is the following-up of a suggestion that certain words like “right,” “wrong,” “ought,” are used in the same way both by lawyers and by moralists; this leads to a logical rehabilitation of the somewhat unpopular concept of the moral law, which in turn argues objectivity (...) and rationality in morals, and makes it possible “to distinguish between good and bad moralists in much the same way as we can distinguish between good and bad lawyers.” The legal pattern is essentially the same as the moral pattern. (shrink)

This text provides a critique of the subjective Bayesian view of statistical inference, and proposes the author's own error-statistical approach as an alternative framework for the epistemology of experiment. It seeks to address the needs of researchers who work with statistical analysis.

Current scientific research almost always requires collaboration among several (if not several hundred) specialized researchers. When scientists co-author a journal article, who deserves credit for discoveries or blame for errors? How should scientific institutions promote fruitful collaborations among scientists? In this book, leading philosophers of science address these critical questions.

Over the past two decades, several consistent procedures have been designed to infer causal conclusions from observational data. We prove that if the true causal network might be an arbitrary, linear Gaussian network or a discrete Bayes network, then every unambiguous causal conclusion produced by a consistent method from non-experimental data is subject to reversal as the sample size increases any finite number of times. That result, called the causal flipping theorem, extends prior results to the effect that causal discovery (...) cannot be reliable on a given sample size. We argue that since repeated flipping of causal conclusions is unavoidable in principle for consistent methods, the best possible discovery methods are consistent methods that retract their earlier conclusions no more than necessary. A series of simulations of various methods across a wide range of sample sizes illustrates concretely both the theorem and the principle of comparing methods in terms of retractions. (shrink)

Suicide is devastating. It is an assault on our ideas of what living is about. In Contemplating Suicide Gavin Fairbairn takes fresh look at suicidal self harm. His view is distinctive in not emphasising external facts: the presence or absence of a corpse, along with evidence that the person who has become a corpse, intended to do so. It emphasises the intentions that the person had in acting, rather than the consequences that follow from those actions. Much of the book (...) is devoted to an attempt to construct a natural history of suicidal self harm and to examine some of the ethical issues that it raises. Fairbairn sets his philosophical reflections against a background of practical experience in the caring professions and uses a storytelling approach in offering a critique of the current language of self harm along with some new ways of thinking. Among other things he offers cogent reasons for abandoning the mindless use of terms such as attempted suicide and parasuicide , and introduces a number of new terms including cosmic roulette , which he uses to describe a family of human acts in which people gamble with their lives. By elaborating a richer model of suicidal self harm than most philosophers and most practitioners of caring professions currently inhabit, Fairbairn has contributed to the development of understanding in this area. Among other things a richer model and vocabulary may reduce the likelihood that those who come into contact with suicidal self harm, will believe that familiarity with the physical facts of the matter - the actions of the suicider and the presence or absence of a corpse - is always sufficient to justify a definite conclusion about the nature of the self harming act. (shrink)

What is science, and what is it not? Is falsifiability the key to drawing this line? How and why does science work? Should we worry whether science is talking about a "real" world? And should we stop thinking there is a single thing we can call "the scientific method"? With Deborah Mayo, Robert Rynasiewicz, and Drew Arrowood.

Although physician‐assisted death can be a great benefit both to those who are terminally ill and those who are not, the risks for patients in these two categories are quite different. For now it is reasonable to make the benefit available only for those near death, and to await better evidence about the risks before making it more broadly available.

In the latter half of the twentieth century, philosophers of science have argued (implicitly and explicitly) that epistemically rational individuals might compose epistemically irrational groups and that, conversely, epistemically rational groups might be composed of epistemically irrational individuals. We call the conjunction of these two claims the Independence Thesis, as they together imply that methodological prescriptions for scientific communities and those for individual scientists might be logically independent of one another. We develop a formal model of scientific inquiry, define four (...) criteria for individual and group epistemic rationality, and then prove that the four definitions diverge, in the sense that individuals will be judged rational when groups are not and vice versa. We conclude by explaining implications of the inconsistency thesis for (i) descriptive history and sociology of science and (ii) normative prescriptions for scientific communities. (shrink)

Jim Joyce argues for two amendments to probabilism. The first is the doctrine that credences are rational, or not, in virtue of their accuracy or “closeness to the truth” (1998). The second is a shift from a numerically precise model of belief to an imprecise model represented by a set of probability functions (2010). We argue that both amendments cannot be satisfied simultaneously. To do so, we employ a (slightly-generalized) impossibility theorem of Seidenfeld, Schervish, and Kadane (2012), who show that (...) there is no strictly proper scoring rule for imprecise probabilities. -/- The question then is what should give way. Joyce, who is well aware of this no-go result, thinks that a quantifiability constraint on epistemic accuracy should be relaxed to accommodate imprecision. We argue instead that another Joycean assumption — called strict immodesty— should be rejected, and we prove a representation theorem that characterizes all “mildly” immodest measures of inaccuracy. (shrink)

Despite the widespread use of key concepts of the Neyman–Pearson (N–P) statistical paradigm—type I and II errors, significance levels, power, confidence levels—they have been the subject of philosophical controversy and debate for over 60 years. Both current and long-standing problems of N–P tests stem from unclarity and confusion, even among N–P adherents, as to how a test's (pre-data) error probabilities are to be used for (post-data) inductive inference as opposed to inductive behavior. We argue that the relevance of error probabilities (...) is to ensure that only statistical hypotheses that have passed severe or probative tests are inferred from the data. The severity criterion supplies a meta-statistical principle for evaluating proposed statistical inferences, avoiding classic fallacies from tests that are overly sensitive, as well as those not sensitive enough to particular errors and discrepancies. Introduction and overview 1.1 Behavioristic and inferential rationales for Neyman–Pearson (N–P) tests 1.2 Severity rationale: induction as severe testing 1.3 Severity as a meta-statistical concept: three required restrictions on the N–P paradigm Error statistical tests from the severity perspective 2.1 N–P test T(): type I, II error probabilities and power 2.2 Specifying test T() using p-values Neyman's post-data use of power 3.1 Neyman: does failure to reject H warrant confirming H? Severe testing as a basic concept for an adequate post-data inference 4.1 The severity interpretation of acceptance (SIA) for test T() 4.2 The fallacy of acceptance (i.e., an insignificant difference): Ms Rosy 4.3 Severity and power Fallacy of rejection: statistical vs. substantive significance 5.1 Taking a rejection of H0 as evidence for a substantive claim or theory 5.2 A statistically significant difference from H0 may fail to indicate a substantively important magnitude 5.3 Principle for the severity interpretation of a rejection (SIR) 5.4 Comparing significant results with different sample sizes in T(): large n problem 5.5 General testing rules for T(), using the severe testing concept The severe testing concept and confidence intervals 6.1 Dualities between one and two-sided intervals and tests 6.2 Avoiding shortcomings of confidence intervals Beyond the N–P paradigm: pure significance, and misspecification tests Concluding comments: have we shown severity to be a basic concept in a N–P philosophy of induction? (shrink)

Modeling and computer simulations, we claim, should be considered core philosophical methods. More precisely, we will defend two theses. First, philosophers should use simulations for many of the same reasons we currently use thought experiments. In fact, simulations are superior to thought experiments in achieving some philosophical goals. Second, devising and coding computational models instill good philosophical habits of mind. Throughout the paper, we respond to the often implicit objection that computer modeling is “not philosophical.”.