Dans un très bel ouvrage préfacé par Michelle Perrot, Juliette Rennes propose une analyse stimulante de séries de cartes postales qui mettent en scène des « femmes en métiers d’homme ». À partir d’un corpus de plus de 300 images publiées en France entre la fin du xixe siècle et la période de l’entre-deux guerres, l’auteure s’attache à saisir les enjeux et les débats qui ont accompagné la féminisation des carrières initialement tenues par les hommes et qui, tant par le (...) statut qu’elles confèren... (shrink)

De Interpretatione is among Aristotle's most influential and widely read writings; C. W. A. Whitaker presents the first systematic study of this work, and offers a radical new view of its aims, its structure, and its place in Aristotle's system. He shows that De Interpretatione is not a disjointed essay on ill-connected subjects, as traditionally thought, but a highly organized and systematic treatise on logic, argument, and dialectic.

Despite Stewart admitting his own “socialist” sympathies, The Daily Show often critiques not only right‐leaning but left‐leaning language. Interestingly, despite the show's ironic satire, it aims at greater accuracy as a means to the larger end of truth in general, a stream of thinking termed “modernism.” But in “postmodernism,” truth is seen more as a continuum and a process. The show and its writers “teach that deliberation is not a means to an end but an end in itself. Discussion, dialogue, (...) provocation, and questioning are valued for their own sake—not because they lead to truth but because they foster a community able to discern untruth.” Better, the author believes the show does lead to truer understanding. But more than information, the show promotes transformation—from knee‐jerk habits of mind to mindful self‐awareness. One way it does so is by catching how people try to manipulate opinion using the red herring tactic. (shrink)

Both Carnap and Quine made significant contributions to the philosophy of mathematics despite their diversedviews. Carnap endorsed the dichotomy between analytic and synthetic knowledge and classified certainmathematical questions as internal questions appealing to logic and convention. On the contrary, Quine wasopposed to the analytic-synthetic distinction and promoted a holistic view of scientific inquiry. The purpose of thispaper is to argue that in light of the recent advancement of experimental mathematics such as Monte Carlosimulations, limiting mathematical inquiry to the domain of (...) logic is unjustified. Robustness studies implemented inMonte Carlo Studies demonstrate that mathematics is on par with other experimental-based sciences. (shrink)

This volume contains the selected discourses of four seventeenth-century philosophers, carefully chosen to illustrate the tenets characteristic of the influential movement known as Cambridge Platonism. Fundamental to their beliefs is the statement most clearly voiced by Benjamin Whichcote, their leader by common consent, that the spiritual is not opposed to the rational, nor Grace to nature. Religion is based on reason, even in the presence of 'mystery'. Free will and Grace are not mutually exclusive. The editor's comprehensive introduction delineates the (...) main principles of the Cambridge Platonists, in the light of their heritage. It compares their attitude to contemporary thought, stressing their mistrust both of institutionalised religion and of the rising tide of materialism. The sermons are reprinted from the original texts and fully annotated with comparisons and references to a wide range of works. The editor also includes a useful list for further reading, biographical notes and a comprehensive index. (shrink)

Yellow sun in a blue sky. Green leaves caressed by the wind. Open the shutters of the eye, that window of the soul, and all such things are revealed. Nothing is more apparent than that things have colors, and that we have immediate perceptual access to those colors.

An analysis of two heuristic strategies for the development of mechanistic models, illustrated with historical examples from the life sciences. In Discovering Complexity, William Bechtel and Robert Richardson examine two heuristics that guided the development of mechanistic models in the life sciences: decomposition and localization. Drawing on historical cases from disciplines including cell biology, cognitive neuroscience, and genetics, they identify a number of "choice points" that life scientists confront in developing mechanistic explanations and show how different choices result in divergent (...) explanatory models. Describing decomposition as the attempt to differentiate functional and structural components of a system and localization as the assignment of responsibility for specific functions to specific structures, Bechtel and Richardson examine the usefulness of these heuristics as well as their fallibility—the sometimes false assumption underlying them that nature is significantly decomposable and hierarchically organized. When Discovering Complexity was originally published in 1993, few philosophers of science perceived the centrality of seeking mechanisms to explain phenomena in biology, relying instead on the model of nomological explanation advanced by the logical positivists (a model Bechtel and Richardson found to be utterly inapplicable to the examples from the life sciences in their study). Since then, mechanism and mechanistic explanation have become widely discussed. In a substantive new introduction to this MIT Press edition of their book, Bechtel and Richardson examine both philosophical and scientific developments in research on mechanistic models since 1993. (shrink)

Biologists studying complex causal systems typically identify some factors as causes and treat other factors as background conditions. For example, when geneticists explain biological phenomena, they often foreground genes and relegate the cellular milieu to the background. But factors in the milieu are as causally necessary as genes for the production of phenotypic traits, even traits at the molecular level such as amino acid sequences. Gene-centered biology has been criticized on the grounds that because there is parity among causes, the (...) “privileging” of genes reflects a reductionist bias, not an ontological difference. The idea that there is an ontological parity among causes is related to a philosophical puzzle identified by John Stuart Mill: what, other than our interests or biases, could possibly justify identifying some causes as the actual or operative ones, and other causes as mere background? The aim of this paper is to solve this conceptual puzzle and to explain why there is not an ontological parity among genes and the other factors. It turns out that solving this puzzle helps answer a seemingly unrelated philosophical question: what kind of causal generality matters in biology? (shrink)

Embedding ethics modules within computer science courses has become a popular response to the growing recognition that CS programs need to better equip their students to navigate the ethical dimensions of computing technologies like AI, machine learning, and big data analytics. However, the popularity of this approach has outpaced the evidence of its positive outcomes. To help close that gap, this empirical study reports positive results from Northeastern’s program that embeds values analysis modules into CS courses. The resulting data suggest (...) that such modules have a positive effect on students’ moral attitudes and that students leave the modules believing they are more prepared to navigate the ethical dimensions they’ll likely face in their eventual careers. Importantly, these gains were accomplished at an institution without a philosophy doctoral program, suggesting this strategy can be effectively employed by a wider range of institutions than many have thought. (shrink)