In The Stigma of Genius: Einstein, Consciousness and Critical Education, we muse over ways in which to be, to become, to recognize uniqueness and different paths to genius. Understanding that there is no prescribed procedure, but only multiple actions, means, measures in which to recognize or teach to genius, we look at Einstein's life and knowledges to connect our pedagogies and students. Today's schools often exemplify an inability to stimulate and encourage students to find passion, goals, and reasons to be (...) educated. Our public school students are often not succeeding, many are failing and are discouraged. Teachers are exhausted, overworked, lacking respect and administrative support in districts controlled by local and national politics. Using Einstein as an example, but also a metaphor for educators, The Stigma of Genius is straight talk about the needs for schools/teachers/administrators/students to become critically and contextually aware. We argue for an education which is conscious of students' needs, and the nuances within each school and each classroom. Discussing cognition, classes, urban education, and diversity, we have attempted to circle back to Einstein and understand ways to support and encourage today's geniuses. (shrink)

Framed within the broader theoretical context of social semiotics, we attempt to show how university students communicate using a variety of unique means, in particular social contexts. We privilege Pennycook and Otsuji’s semiotic assemblages, Jimaima and Simungala’s semiotic creativity, and the notion of semiotic economy as critical ingredients that conspire to give rise to the unique and complex coinages and innovations constituting students’ repertoires. We argue that, born out of creativity, the students’ repertoires are semiotically and economically charged discourses that (...) generate extended narratives such that more is realized with less. We show that this reality undoubtedly constitutes a multi-semiotic meaning-making endeavor that enacts and sustains students’ imagined and lived experiences in real sociocultural, historical, and political spaces in the multilingual landscapes of university campuses. (shrink)

Responsible Robotics is about developing robots in ways that take their social implications into account, which includes conceptually framing robots and their role in the world accurately. We are now in the process of incorporating robots into our world and we are trying to figure out what to make of them and where to put them in our conceptual, physical, economic, legal, emotional and moral world. How humans think about robots, especially humanoid social robots, which elicit complex and sometimes disconcerting (...) reactions, is not predetermined. The animal–robot analogy is one of the most commonly used in attempting to frame interactions between humans and robots and it also tends to push in the direction of blurring the distinction between humans and machines. We argue that, despite some shared characteristics, when it comes to thinking about the moral status of humanoid robots, legal liability, and the impact of treatment of humanoid robots on how humans treat one another, analogies with animals are misleading. (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)

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)

Although both philosophers and scientists are interested in how to obtain reliable knowledge in the face of error, there is a gap between their perspectives that has been an obstacle to progress. By means of a series of exchanges between the editors and leaders from the philosophy of science, statistics and economics, this volume offers a cumulative introduction connecting problems of traditional philosophy of science to problems of inference in statistical and empirical modelling practice. Philosophers of science and scientific practitioners (...) are challenged to reevaluate the assumptions of their own theories - philosophical or methodological. Practitioners may better appreciate the foundational issues around which their questions revolve and thereby become better 'applied philosophers'. Conversely, new avenues emerge for finally solving recalcitrant philosophical problems of induction, explanation and theory testing. (shrink)

The key problem in the controversy over group selection is that of defining a criterion of group selection that identifies a distinct causal process that is irreducible to the causal process of individual selection. We aim to clarify this problem and to formulate an adequate model of irreducible group selection. We distinguish two types of group selection models, labeling them type I and type II models. Type I models are invoked to explain differences among groups in their respective rates of (...) production of contained individuals. Type II models are invoked to explain differences among groups in their respective rates of production of distinct new groups. Taking Elliott Sober's model as an exemplar, we argue that although type I models have some biological importance--they force biologists to consider the role of group properties in influencing the fitness of organisms--they fail to identify a distinct group-level causal selection process. Type II models if properly framed, however, do identify a group-level causal selection process that is not reducible to individual selection. We propose such a type II model and apply it to some of the major candidates for group selection. (shrink)

The growing availability of computer power and statistical software has greatly increased the ease with which practitioners apply statistical methods, but this has not been accompanied by attention to checking the assumptions on which these methods are based. At the same time, disagreements about inferences based on statistical research frequently revolve around whether the assumptions are actually met in the studies available, e.g., in psychology, ecology, biology, risk assessment. Philosophical scrutiny can help disentangle 'practical' problems of model validation, and conversely, (...) a methodology of statistical model validation can shed light on a number of issues of interest to philosophers of science. (shrink)

This guide leads readers systematically through the arguments of Mary Shepherd's two books. Chapters 1-4 cover the arguments in the Essay Upon the Relation of Cause and Effect (1824), where Shepherd argues that causal principles can be known by reason to be necessary truths and that causal inferences can be rationally justified. Shepherd's primary target in this work is Hume, but she also addresses the views of Thomas Brown and William Lawrence. Shepherd considered her second book, Essays on the Perception (...) of an External Universe, and Other Subjects Connected with the Doctrine of Causation (1827), to be an extension of the earlier project on causation; here she appeals to the causal principles established in the first book to argue that we can know through reason that an external world of continually-existing objects must exist independently of us, as the causes of our sensations. Chapter 5 of this Guide addresses Shepherd's accounts of sensation and reasoning; Chapters 6-9 lead the reader through the arguments of the Essays, as well laying out Shepherd's views on skepticism and Berkeleyan idealism, her accounts of mind and body, her philosophy of religion, and the solutions she offers to two puzzles about vision. (shrink)

In the final chapters of her 1824 Essay upon the Relation of Cause and Effect, Lady Mary Shepherd considers what it means for an organism to be alive. The physician William Lawrence had...

In seeking general accounts of evidence, confirmation, or inference, philosophers have looked to logical relationships between evidence and hypotheses. Such logics of evidential relationship, whether hypothetico-deductive, Bayesian, or instantiationist fail to capture or be relevant to scientific practice. They require information that scientists do not generally have (e.g., an exhaustive set of hypotheses), while lacking slots within which to include considerations to which scientists regularly appeal (e.g., error probabilities). Building on my co-symposiasts contributions, I suggest some directions in which a (...) new and more adequate philosophy of evidence can move. (shrink)

This essay argues for the relevance of the history of family life to the history of science, taking the example of the Exners of Vienna. The Exners were an influential case of the nineteenth‐century European phenomenon of the “scientific dynasty.” The focus here is on their collaborative research on color theory at the turn of the twentieth century. At first glance, this project looks like a reactionary strike against aesthetic innovation, a symptom of what historians assume was an unbridgeable gulf (...) between scientific reason and artistic modernism. We can better understand the Exners’ motivations by situating this research at the intersection of the family's public and private lives. The domestic context sheds light on their use of such scientific terms as “subjective,” “normal,” and “universal,” providing a more nuanced sense of what rationality really meant in fin‐de‐siècle Vienna. (shrink)

Death narratives, nurturance, and transitive crossings within species and between species open pathways into entanglements of life of earth. This paper engages with time in both sequential and synchronous modes, investigating interfaces where time, species, and nourishment become densely knotted up in ethics of gift, motion, death, life, and desire. The further aim is to consider the dynamic ripples generated by anthropogenic mass death in multispecies knots of ethical time, and to gesture toward a practice of writing as witness.

The concept of ‘‘certitude” is central in Arabic discussions of the theory of demonstration advanced by Aristotle in the Posterior Analytics. In the Arabic tradition it is ‘‘certitude,” rather than ‘‘knowledge”, that is usually identified as the end sought by demonstrations. Al-Fārābī himself devotes a short treatise, known as the Conditions of Certitude, to determining the criteria according to which a subject can claim to have absolute certitude of any proposition. In this article the author traces the roots of the (...) concept of certitude to the Arabic translation of the Posterior Analytics. She then offers a close reading of the text of al-Fārābī's Conditions and its parallels in his Epitome of the Posterior Analytics. She argues that the identification of certitude as a cognitive state distinct from knowledge enabled al-Fārābī to introduce a number of interesting and sometimes problematic innovations into Arabic epistemology. Foremost amongst his positive innovations is the recognition that contingent as well as necessary propositions allow for an attenuated form of certitude, and the introduction of reliabilism into the justification of claims to certitude. But al-Fārābī is also one of the first philosophers to articulate explicitly the idea that certitude must include an element of ‘‘knowing that one knows,” a controversial principle that tends to undermine both al-Fārābī’s reliabilism and his efforts to loosen some of the strictures in traditional Aristotelian epistemology. (shrink)

After some general remarks about the interrelation between philosophical and statistical thinking, the discussion centres largely on significance tests. These are defined as the calculation of p-values rather than as formal procedures for ‘acceptance‘ and ‘rejection‘. A number of types of null hypothesis are described and a principle for evidential interpretation set out governing the implications of p- values in the specific circumstances of each application, as contrasted with a long-run interpretation. A number of more complicated situ- ations are discussed (...) in which modification of the simple p-value may be essential. (shrink)

In arguing against the likelihood of consciousness in non-human animals, Descartes advances a slippery slope argument that if thought were attributed to any one animal, it would have to be attributed to all, which is absurd. This paper examines the foundations of Thomas Willis’ comparative neuroanatomy against the background of Descartes’ slippery slope argument against animal consciousness. Inspired by Gassendi’s ideas about the corporeal soul, Thomas Willis distinguished between neural circuitry responsible for reflex behaviour and that responsible for cognitively or (...) consciously mediated behaviour. This afforded Willis a non-arbitrary basis for distinguishing between animals with thought and consciousness and those without, a methodology which retains currency for neuroscience today. (shrink)

Elizabeth Hamilton (1758–1816) has not so far been considered a philosopher, probably because she wrote novels and tracts on education rather than philosophical treatises. This paper argues that Hamilton’s novel Memoirs of Modern Philosophers (1800) should be read as a philosophical text, both for its close engagement with William Godwin’s moral theory and for what it suggests about Hamilton’s own moral theory and moral psychology. Studies of Memoirs have so far either characterized it as merely satire of Godwin, or, if (...) they have read it as containing arguments against Godwin’s views, have described those arguments in very broad strokes, without looking closely at the text to see if the descriptions are warranted. A careful examination of Memoirs shows that Hamilton objected primarily to one key aspect of Godwin’s moral theory, namely, his insistence that actions affecting others must be based on an impartial, disinterested assessment of a person’s contribution to general utility rather than on their particular relationship to the agent. Memoirs also points towards Hamilton’s own moral theory, as exemplified in her Series of Popular Essays (1813), with its emphasis on ‘benevolent affections’ that are directed towards family members and people in the agent’s social circle. (shrink)

The issues of double-counting, use-constructing, and selection effects have long been the subject of debate in the philosophical as well as statistical literature. I have argued that it is the severity, stringency, or probativeness of the test—or lack of it—that should determine if a double-use of data is admissible. Hitchcock and Sober ([2004]) question whether this ‘severity criterion' can perform its intended job. I argue that their criticisms stem from a flawed interpretation of the severity criterion. Taking their criticism as (...) a springboard, I elucidate some of the central examples that have long been controversial, and clarify how the severity criterion is properly applied to them. Severity and Use-Constructing: Four Points (and Some Clarificatory Notes) 1.1 Point 1: Getting beyond ‘all or nothing’ standpoints 1.2 Point 2: The rationale for prohibiting double-counting is the requirement that tests be severe 1.3 Point 3: Evaluate severity of a test T by its associated construction rule R 1.4 Point 4: The ease of passing vs. ease of erroneous passing: Statistical vs. ‘Definitional’ probability The False Dilemma: Hitchcock and Sober 2.1 Marsha measures her desk reliably 2.2 A false dilemma Canonical Errors of Inference 3.1 How construction rules may alter the error-probing performance of tests 3.2 Rules for accounting for anomalies 3.3 Hunting for statistically significant differences Concluding Remarks. (shrink)

Lady Mary Shepherd argued for distinctive accounts of causation, perception, and knowledge of an external world and God. However, her work, engaging with Berkeley and Hume but written after Kant, does not fit the standard periodisation of early modern philosophy presupposed by many philosophy courses, textbooks, and conferences. This paper argues that Shepherd should be added to the canon as a Scottish philosopher. The practical reason for doing so is that it would give Shepherd a disciplinary home, opening up additional (...) possibilities for research and teaching. The philosophical reason is that her views share certain features characteristic of canonical Scottish philosophers. (shrink)

Kuhn maintains that what marks the transition to a science is the ability to carry out ‘normal’ science—a practice he characterizes as abandoning the kind of testing that Popper lauds as the hallmark of science. Examining Kuhn's own contrast with Popper, I propose to recast Kuhnian normal science. Thus recast, it is seen to consist of severe and reliable tests of low-level experimental hypotheses (normal tests) and is, indeed, the place to look to demarcate science. While thereby vindicating Kuhn on (...) demarcation, my recasting of normal science is seen to tell against Kuhn's view of revolutionary science. (shrink)

Theories of statistical testing may be seen as attempts to provide systematic means for evaluating scientific conjectures on the basis of incomplete or inaccurate observational data. The Neyman-Pearson Theory of Testing (NPT) has purported to provide an objective means for testing statistical hypotheses corresponding to scientific claims. Despite their widespread use in science, methods of NPT have themselves been accused of failing to be objective; and the purported objectivity of scientific claims based upon NPT has been called into question. The (...) purpose of this paper is first to clarify this question by examining the conceptions of (I) the function served by NPT in science, and (II) the requirements of an objective theory of statistics upon which attacks on NPT's objectivity are based. Our grounds for rejecting these conceptions suggest altered conceptions of (I) and (II) that might avoid such attacks. Second, we propose a reformulation of NPT, denoted by NPT*, based on these altered conceptions, and argue that it provides an objective theory of statistics. The crux of our argument is that by being able to objectively control error frequencies NPT* is able to objectively evaluate what has or has not been learned from the result of a statistical test. (shrink)

I was dreaming about Delores when the phone interrupted us. It was the Chief, or ‘Stress,’ as we liked to call him, telling me to get part of my anatomy down to Shakey’s Funeral Parlor. My head ached. I thought I must be the only sucker who gets a hangover from being drunk on life. I got up, put two eggs, a spoonful of wheatgerm, the remains of the scotch, and the phonebill into the blender and fed the whole lot (...) to the cat. It helped, but not as much as Delores would have. I should have married her even if she was a Hubot. At least she could play chess. I was still Rumanating over Delores as I hit the curb outside Shakey’s.I had the notion that Shakey’s was once a pizza joint but I could have been wrong. I found Stress, disheveled as usual, in the lobby.‘You’re late,’ he said. I wasn’t, but he’s thatkinda guy. He says ‘Jump!’ and you say ‘With or without my legs?’ We got our free Cokes from Shakey himself, who led us down the hall. (shrink)

The concept of ‘‘certitude” is central in Arabic discussions of the theory of demonstration advanced by Aristotle in the Posterior Analytics. In the Arabic tradition it is ‘‘certitude,” rather than ‘‘knowledge”, that is usually identified as the end sought by demonstrations. Al-Fārābī himself devotes a short treatise, known as the Conditions of Certitude, to determining the criteria according to which a subject can claim to have absolute certitude of any proposition. In this article the author traces the roots of the (...) concept of certitude to the Arabic translation of the Posterior Analytics. She then offers a close reading of the text of al-Fārābī's Conditions and its parallels in his Epitome of the Posterior Analytics. She argues that the identification of certitude as a cognitive state distinct from knowledge enabled al-Fārābī to introduce a number of interesting and sometimes problematic innovations into Arabic epistemology. Foremost amongst his positive innovations is the recognition that contingent as well as necessary propositions allow for an attenuated form of certitude, and the introduction of reliabilism into the justification of claims to certitude. But al-Fārābī is also one of the first philosophers to articulate explicitly the idea that certitude must include an element of ‘‘knowing that one knows,” a controversial principle that tends to undermine both al-Fārābī’s reliabilism and his efforts to loosen some of the strictures in traditional Aristotelian epistemology. (shrink)

Cartwright argues for being a realist about theoretical entities but non-realist about theoretical laws. Her reason is that while the former involves causal explanation, the latter involves theoretical explanation; and inferences to causes, unlike inferences to theories, can avoid the redundancy objection--that one cannot rule out alternatives that explain the phenomena equally well. I sketch Cartwright's argument for inferring the most probable cause, focusing on Perrin's inference to molecular collisions as the cause of Brownian motion. I argue that either the (...) inference she describes fails to be a genuinely causal one, or else it too is open to the redundancy objection. However, I claim there is a way to sustain Cartwright's main insight: that it is possible to avoid the redundancy objection in certain cases of causal inference from experiments (e.g., Perrin). But, contrary to Cartwright, I argue that in those cases one is able to infer causes only by inferring some theoretical laws about how they produce experimental effects. (shrink)

As Helen Longino's overview of Hypatia's engagement with feminist epistemology suggests, the last twenty-five years’ contributions to this field reveal a strong focus on the topic of knowledge. In her short outline, Longino questions this narrow focus on knowledge in epistemological inquiry. The main purpose of this article is to provide a framework for systematically taking up the questions raised by Longino, one that prevents us from running the risk of becoming unreflectively involved in sexist, racist, or otherwise problematic inquiry. (...) I argue that a specific form of the method of Reflective Equilibrium, as it is widely discussed in moral epistemology, logic, and theories of rationality, enables us to cope with the problems of traditional epistemology, which feminist theorizers such as Sally Haslanger have pointed to. With the account of Reflective Equilibrium I am offering—drawing in many respects on the model provided by Catherine Z. Elgin—we have an ameliorative method that allows us to rethink epistemological values, goals, and standards in a systematic way, and that largely avoids implicit and explicit biases in epistemology. (shrink)

There are two reasons, I claim, scientists do and should ignore standard philosophical theories of objective evidence: Such theories propose concepts that are far too weak to give scientists what they want from evidence, viz., a good reason to believe a hypothesis; and They provide concepts that make the evidential relationship a priori, whereas typically establishing an evidential claim requires empirical investigation.

Aristotle, pundits often say, has a 'nous'-body problem. The psychophysical account that succeeds in the case of other psychological faculties and activities, they charge, breaks down in the case of the intellect. One formulation of this difficulty claims that the definition of the soul given in 'De Anima' II.1 is incompatible with the account of 'nous' in 'De Anima' lll and elsewhere in the corpus. Indeed there are four psychological concepts that raise the 'nous'-body problem: the faculty for thought as (...) described in 'De Anima' III.4, the intellection of indivisible objects of thought in 'De Anima' III.6, the active intellect of 'De Anima' III.5 and the type of thinking likened to the activity of the divine mind in _Metaphysics<D> XII.6-8 and _Nicomachean Ethics<D> X.6-8. I consider each in turn and argue that Aristotle is on firmer ground here than is often believed. (shrink)

The Anthropocene is the signature concept of the new discipline of Earth System science (ESS). This essay argues that ESS is, first and foremost, a framework for interdisciplinary collaboration, and it considers the advantages and disadvantages to historians of adopting this framework. The authors conclude that the epistemological framework of ESS devalues the role of historical interpretation and evinces a self-defeating tendency toward Holocene nostalgia. A historically informed response to the present environmental crisis needs to attend to historical forces that (...) remain invisible to ESS, such as the technological agency of nondominant actors. (shrink)

In A Series of Popular Essays, Scottish philosopher Elizabeth Hamilton identifies two ‘principles’ in the human mind: sympathy and the selfish principle. While sharing Adam Smith's understanding of sympathy as a capacity for fellow-feeling, Hamilton also criticizes Smith's account of sympathy as involving the imagination. Even more important for Hamilton is the selfish principle, a ‘propensity to expand or enlarge the idea of self’ that she distinguishes from both selfishness and self-love. Counteracting the selfish principle requires cultivating sympathy and benevolent (...) affections from birth. Since no one can do this alone, Hamilton's prescription appeals ineliminably to the caregivers of the very young; and Hamilton was ahead of her time in claiming that these caregivers need not be female. (shrink)

Absence of evidence arguments are indispensable to comparative neurobiology. The absence in a given species of a homologous neural architecture strongly correlated with a type of conscious experience in humans should be able to be taken as a prima facie reason for concluding that the species in question does not have the capacity for that conscious experience. Absence of evidence reasoning is, however, widely disparaged for being both logically illicit and unscientific. This paper argues that these concerns are unwarranted. There (...) is no logical barrier to formulating cogent absence of evidence arguments; indeed, accepting such arguments is part of what it is to be committed to falsifiability as a critical aspect of the scientific method. Absence of evidence arguments can always be blocked, however, by assuming that psychological properties are ‘multiply realizable’. While we take multiple realizability to be highly likely at some level of analysis, we argue that it is question-begging to assume that it exists at every level of analysis, and thus it should not automatically be thought to undermine absence of evidence reasoning in the animal consciousness debate. Using the example of pain and focusing on homologies at the level of information processing tasks, we show how, in the science of consciousness, an absence of evidence might well serve as evidence of absence. (shrink)

For historians of science, earthquakes may well have an air of the exotic. Often terrifying, apparently unpredictable, and arguably even more deadly today than in a pre-industrial age, they are not a phenomenon against which scientific progress is easy to gauge. Yet precisely because seismic forces seem so uncanny, even demonic, naturalizing them has been one of the most tantalizing and enduring challenges of modern science. Earthquakes have repeatedly shaken not just human edifices but the foundations of human knowledge. They (...) have been known to cast doubt on divine providence, on the predictive ability of the sciences, and on the capacity of the human mind to learn from an experience of sheer terror. Most recently, the Japanese earthquake and tsunami of 2011 have forced nuclear experts around the world to confront the limits of their knowledge and the vulnerability of their best-laid plans. (shrink)