Philosophy of Science, Miscellaneous

This paper is essentially a quantum philosophical challenge: starting from simple assumptions, we argue about an ontological approach to quantum mechanics. In this paper, we will focus only on the assumptions. While these assumptions seems to solve the ontological aspect of theory many others epistemological problems arise. For these reasons, in order to prove these assumptions, we need to find a consistent mathematical context (i.e. time reverse problem, quantum entanglement, implications on quantum fields, Schr¨odinger cat states, the role of observer, (...) the role of mind ). (shrink)

In this paper, we argue that both zemblanity and self-fulfilling prophecy may emerge from the application of Big Data models in society due to the presence of feedback loops.

Criticisms of Karl Popper’s critical rationalist epistemology are often confused and misleading. In part that is due to Popper’s somewhat lax use of language, in which technical terms are used in more than one sense. I attempt to clarify Popper’s views by regimenting his terminology. The result is offered as a clear and concise exposition of the main points of Popper’s epistemology. This is an updated version of a paper that was published in Cosmos + Taxis 6 (6+7): 49-54 (2019).

The problem of demarcating between what is scientific and what is pseudoscientific or merely unscientific - in other words, the problem of defining scientificity - remains open. The modern debate was firstly structured around Karl Popper's falsificationist epistemology from the 1930's, before diversifying a few decades later. His central idea is that what makes something scientific is not so much how adequate it is with data, but rather to what extent it might not have been so. Since the second half (...) of the century, and in the wake of criticisms, such as the Duhem-Quine thesis, that were raised against falsificationism(s), most approaches to the problem of scientific demarcation are now multicriteria and holistic. However, the approach presented in this paper does not follow the same guideline. The present work can be seen as an attempt to adapt Popper's (sophisticated) falsificationism to a model-based view of scientific knowledge. Using formalization and focusing on a particular epistemic unit of analysis (namely, empirical models) allows to properly define the popperian corroboration degree and to view scientificity as the maximization of this degree of corroboration over all available models and data. We eventually recover, in a natural way, well-accepted scientificity criteria: empirical adequacy, Lakatos' progressive problemshifts, balance between strength and simplicity, parsimony, and coherence as special cases of this general scientificity principle. From this viewpoint, the language dependency of our empirical knowledge no longer appears as a limitation of falsificationism but as one more reason to take it as a good epistemological framework. (shrink)

This paper attempts to decipher what we really mean when we use the word "Science" by briefly exploring the criterion of "predictive power" with respect to the demarcation problem. It is essentially an articulation of Lakatos' view of Science and attempts to show that predictive power is quintessential to science.

-/- Abstract . In an earlier paper ‘The Topos of Emergence’ (‘TheTopos of Emrgence’, in: Boundaries - The Scientifc Aspects of ANPA 24, (ed. Keith G. Bowden), London 2003, pp 236 –250; cf.also:http://www.academia.edu/1549400/The_Topos_of_Emergence) I introduced a mathematical structure called the topos PrePhys consisting of an ever propagating emergent hierarchy made of a strict n-categorical unfolding of automorphic objects obAM .Later I came to the conclusion that this topos PrePhys perfectly matchs the concept of Gunk introduced under this name by DavidLewis. (...) (cf. D.Lewis, Parts of Classes, Oxford, Cambridge (Mass.)1991, pp 19 –21. (shrink)

The scientific community takes for granted a view of science that may be called standard empiricism. This holds that the basic intellectual aim of science is truth, nothing being presupposed about the truth, the basic method being to assess theories with respect to evidence. A basic tenet of the view is that science must not accept any thesis about the world as a part of scientific knowledge independent of evidence, let alone in violation of evidence. But physics only accepts unified (...) theories, and persistently rejects infinitely many ad hoc rivals that fit the phenomena even better. In persistently rejecting these infinitely many empirically more successful rival theories, physics thereby makes a substantial assumption about the universe – it is such that all ad hoc theories are false – an assumption that is accepted implicitly independently of evidence, even in a sense against the evidence. That contradicts standard empiricism. The scientific community needs to adopt a new conception of science that represents the assumption of physics as a hierarchy of assumptions, thus facilitating the improvement of the assumption that is made, as science proceeds. (shrink)

(NOTE: This is a transcript of the class. FOR THE FULL PAPER please click on "Maxson J McDowell" above.) An edited transcript of an experiment performed within a class on dream interpretation. Knowing only the dreamer’s age and gender, we interpreted his dream from its text. Our interpretation included predictions about the dreamer's psychological issues, and about his defenses. It also identified a series of jokes within the dream which would tend to penetrate the dreamer's defenses. When we had finished (...) our 'blind' interpretation, the bringer of the dream gave us more information about the dreamer against which we tested the accuracy of our predictions. A paper on this experiment has been submitted for publication. (shrink)

This paper explores the epistemological challenges in using computer simulations for two distinct goals: explanation via hypothesis-testing and prediction. It argues that each goal requires different strategies for justifying inferences drawn from simulation results due to different practical and conceptual constraints. The paper identifies unique and shared strategies researchers employ to increase confidence in their inferences for each goal. For explanation via hypothesis-testing, researchers need to address the underdetermination, interpretability, and attribution challenges. In prediction, the emphasis is on the model's (...) ability to generalize across multiple domains. Shared strategies researchers employ to increase confidence in inferences are empirical corroboration of theoretical assumptions and adequacy of computational operationalizations, and this paper argues that these are necessary for explanation via hypothesis-testing but not for prediction. This paper emphasizes the need for a nuanced approach to the epistemology of computer simulation, given the diverse applications of computer simulation in scientific research. Understanding these differences is crucial for both researchers and philosophers of science, as it helps develop appropriate methodologies and criteria for assessing the trustworthiness of computer simulation. (shrink)

This paper presents the results of two corpus studies investigating the discourse surrounding conspiracy theories and conventional theories. The first study demonstrates that conspiracy theories lack the epistemic and scientific standing characteristic of theories. The second study provides evidence that conspiracy theories are frequently spread in a manner that resembles the dissemination of falsehoods and misinformation. These findings indicate that conspiracy theories do not possess the characteristics typically associated with genuine theories.

A human life is meaningful to the extent that it connects with something greater than itself in a way that produces good for others and provides future challenges, past achievements, interpersonal connection and fulfilment for the person whose life it is. Self-fulfilment depends upon self-discovery. Adapting the logic of scientific discovery I suggest that a person can best discover who she is by employing an organised and critical process of conjecture and refutation, testing kinds of life by living them and (...) making judgements concerning her fulfilment. I discuss some practical limitations on this process, particularly our proneness to self-deception. I illustrate these points with autobiographical reflections concerning how poor self-knowledge, in part due to self-deception, brought about my descent into depression, anxiety and uncontrollable bruxism, and how that personal disaster could have been avoided if I had set out to discover myself in an organised and critical way. If one is to discover oneself and lead a fulfilling life, one must be prepared to question and criticise received views and one must welcome challenges and criticism to views that one holds dear and that even seem, at the moment, to be part of one’s identity. A philosophical autobiography should be, amongst other things, an account of the author’s progress, or otherwise, in discovering the type of life that she finds most fulfilling. For someone who pursues an organised project of self-discovery, life and philosophical autobiography become intertwined. (shrink)

The UNBELIEVABLE similar ideas between Theise and Menas’ ideas (2016) and my ideas (2002-2008) in Physics and Cognitive Neuroscience and Philosophy (the mind-brain problem, quantum mechanics, etc.) -/- (2016) Theise D. Neil (Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA) and Kafatos C. Menas (bDepartment of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA; cSchmid College of Science & Technology, Chapman University, Orange, CA, USA) (2016), REVIEW - Fundamental awareness: A (...) framework for integrating science, philosophy and metaphysics, in COMMUNICATIVE & INTEGRATIVE BIOLOGY, 2016, VOL. 9, NO. 3, e1155010 (19 pages), http://dx.doi.org/10.1080/19420889.2016.1155010 -/- A friend of mine indicated me the strike similarities between Theise and Kafatos’ ideas in their book (Fundamental awareness: A framework for integrating science, philosophy and metaphysics) and my ideas in 2002-20008! I do not have access to this book, but I investigate the ideas that are in a review about this work. Let me introduce the abstract of that Review: -/- The ontologic framework of Fundamental Awareness proposed here assumes that non-dual Awareness is foundational to the universe, not arising from the interactions or structures of higher level phenomena. The framework allows comparison and integration of views from the three investigative domains concerned with understanding the nature of consciousness: science, philosophy, and metaphysics. In this framework, Awareness is the underlying reality, not reducible to anything else. Awareness and existence are the same. As such, the universe is non-material, self-organizing throughout, a holarchy of complementary, process driven, recursive interactions. The universe is both its own first observer and subject. Considering the world to be non-material and comprised, a priori, of Awareness is to privilege information over materiality, action over agency and to understand that qualia are not a “hard problem,” but the foundational elements of all existence. These views fully reflect main stream Western philosophical traditions, insights from culturally diverse contemplative and mystical traditions, and are in keeping with current scientific thinking, expressible mathematically. (shrink)

There was a time in my school years when I have learned about Achilles and Tortoise “paradox” originated from Zeno. It was then clear that the ancient Greeks were arguing about this problem but contemporary science has clarified the issue. Yet to my surprise the problem is still debated over and over, despite the fact there exist mathematical proofs. I feel like reminding myself why this is not a paradox beyond reasonable doubt. This is a draft to a section of (...) a future publication. (shrink)

Based on an analysis of protective measurements, we show that the quantum state represents the physical state of a single quantum system. This result is more definite than the PBR theorem [Pusey, Barrett, and Rudolph, Nature Phys. 8, 475 (2012)].

It is shown that Uffink's attempt to protect the interpretation of the wave function against protective measurements fails due to several errors in his arguments.

The meaning of the wave function and its evolution are investigated. First, we argue that the wave function in quantum mechanics is a description of random discontinuous motion of particles, and the modulus square of the wave function gives the probability density of the particles being in certain locations in space. Next, we show that the linear non-relativistic evolution of the wave function of an isolated system obeys the free Schrödinger equation due to the requirements of spacetime translation invariance and (...) relativistic invariance. Thirdly, we argue that the random discontinuous motion of particles may lead to a stochastic, nonlinear collapse evolution of the wave function. A discrete model of energy-conserved wavefunction collapse is proposed and shown consistent with existing experiments and our macroscopic experience. Besides, we also give a critical analysis of the de Broglie-Bohm theory, the many-worlds interpretation and other dynamical collapse theories, and briefly discuss the issues of unifying quantum mechanics and relativity. (shrink)

Tom McLeish’s Music and Poetry of Science adds to along and complex literature looking at the creative powers of human genius. In addition to his own scientific field, McLeish draws on art, poetry, novels, music, and BBC television productions. Although positioned in the line of the ‘two cultures’ debate typically associated with C. P. Snow, McLeish reprises William Beveridge’s earlier contribution to that tradition, perhaps, to be aligned,although this McLeish does not do, with Peter Pesic’s Music and the Making of (...) Modern Science . The task of coordinating music, poetry, and science requires more, such that the material hermeneutics of the late Irish-Belgian physicist and philosopher, Patrick Heelan might have offered a basis for fruitful dialogue, although this,too, was a missed opportunity. Given McLeish’s illustration of the beauty key to mathematics in physics via BBC television, it seems an illustration of technological millenarianism via Andrew MacKendrick’s 1951 film, The Man in the White Sui , updated for today, key in a nano-context, might be helpful in raising issues of material‘instability,’ i.e., environmental detritus, nano-waste and pollution. (shrink)

This book represents an original journey beginning from the simple and undifferentiated atom, to differentiated atoms, to molecules, to macromolecules, and to the thresholds of life. One of the most important aims of this book is to underline the philosophical function of the concept of molecule. The description of the material world permitted by the concept of structured entity has revolutionized the entire scientific worldview. Moreover, the concept of macromolecule has projected the molecular world towards the threshold of the biological (...) world and this analysis will also form an integral part of this book. The scientific and epistemological approach towards the molecular world will also serve to link chemistry with philosophy proper. Up to the 19th century, chemistry had enjoyed its own philosophical foundation, which was anchored in the concept of atom, a concept with a rich philosophical heritage. The 20th century appropriation of this concept by physicists has deprived chemistry of its distinctive philosophical foundation, relegating it being merely an applied branch of physics. In this regard, we consider the concept of molecular structure as an exquisitely philosophical concept and as the strong point permitting a solid differentiation of chemistry from physics. The recuperation of a fertile relationship between chemistry and philosophy can and must occur around the concept of structured and complex reality. Chemistry can be projected to the cultural vanguard but only if its practitioners once again attend to the conceptual and philosophical concerns within their discipline, albeit without abandoning the technical concerns that are essential to modern science. (shrink)

Abstract: Brentano’s conception of scientific philosophy had a strong influence on his students and on the intellectual atmosphere of Vienna in the late nineteenth century. The aim of this article is to expose Brentano’s conception and to contrast his views with that of two traditions he is said to have considerably influenced: phenomenology and analytic philosophy. I will shed light on the question of how and to what extent Brentano’s conception of philosophy as a rigorous science has had an impact (...) on these two traditions. The discussion will show that both took their liberties in the interpretation of the thesis, a move that allowed them to liberate themselves from Brentano’s inheritance and to fully develop their own philosophical positions. (shrink)

Willem B. Drees’ book defends the humanities as a valuable endeavor in understanding human beings that is vibrant and essential for the academic and non-academic world ... The review highlights two issues, the book's naturalism (presenting the humanities as a human necessity) and the book's idealistic outlook (presenting the humanities as following the value-free ideal).

In this paper, I offer some reasons for thinking that knowledge is a social phenomenon. My argument is based on Helen Longino’s work on scientific knowledge, in particular her 2002 book The Fate of Knowledge. Longino’s basic idea is that a scientific hypothesis or theory is justified when it emerges (relatively) unscathed from social interactions between scientists. If we accept – as Longino and many others do – that knowledge requires justification, it follows that scientific knowledge is a social phenomenon. (...) I argue that much the same goes for other forms of empirical knowledge, such as historical knowledge, various forms of collective knowledge and our knowledge of the ‘social world’. But does it go for empirical knowledge in general? I offer some – admittedly far from conclusive – reasons for thinking that it might. I also argue that, even if it doesn’t, we still need to distinguish between two kinds of knowledge, one of which is constitutively social and the other of which isn’t. Scientific knowledge is a paradigm example of the former and simple perceptual knowledge is a paradigm example of the latter. The end result is a form of pluralism about knowledge. (shrink)

Drawing on empirical findings, a number of philosophers have recently argued that people who use English as a foreign language may face a linguistic bias in academia in that they or their contributions may be perceived more negatively than warranted because of their English. I take a critical look at this argument. I first distinguish different phenomena that may be conceptualized as linguistic bias but that should be kept separate to avoid overgeneralizations. I then examine a range of empirical studies (...) that philosophers have cited to argue that people who use English as a foreign language are subject to linguistic bias in academia. I contend that many of these studies do not sufficiently support key claims that philosophers have made about linguistic bias, are challenged by counterevidence, and lack generalizability. I end by introducing methodological recommendations that may help philosophers develop more convincing empirically informed arguments regarding linguistic bias. (shrink)

Modern cognitive and clinical psychology offer insight into how people deal with natural disasters. In my methodological paper, I make a strong case for incorporating experimental findings and theoretical concepts of modern psychology into environmental historical disaster research. I show how psychological factors may influence the production and interpretation of historical sources with respect to perceptions of and responses to disasters. While previous psychological approaches to history mostly involve psychoanalysis, I focus on empirical psychology. Specifically, I review a number of (...) well documented heuristics, biases, and memory modulations as described by cognitive psychology. Moreover, I argue that including investigations on disaster related mental disorders would complement the environmental historical research of natural disasters. My approach highlights a strong potential for interdisciplinary collaborations among environmental historians and psychologists. (shrink)

Philosophers of psychology debate, among other things, which psychological models, if any, are (or provide) mechanistic explanations. This should seem a little strange given that there is rough consensus on the following two claims: 1) a mechanism is an organized collection of entities and activities that produces, underlies, or maintains a phenomenon, and 2) a mechanistic explanation describes, represents, or provides information about the mechanism producing, underlying, or maintaining the phenomenon to be explained (i.e. the explanandum phenomenon) (Bechtel and Abrahamsen (...) 2005; Craver 2007). If there is a rough consensus on what mechanisms are and that mechanistic explanations describe, represent, or provide information about them, then how is there no consensus on which psychological models are (or provide) mechanistic explanations? Surely the psychological models that are mechanistic explanations are the models that describe, represent, or provide information about mechanisms. That is true, of course; the trouble arises when determining what exactly that involves. Philosophical disagreement over which psychological models are mechanistic explanations is often disagreement about what it means to describe, represent, or provide information about a mechanism, among other things (Hochstein 2016; Levy 2013). In addition, one's position in this debate depends on a host of other seemingly arcane metaphysical issues, such as the nature of mechanisms, computational and functional properties (Piccinini 2016), and realization (Piccinini and Maley 2014), as well as the relation between models, methodologies, and explanations (Craver 2014; Levy 2013; Zednik 2015). Although I inevitably advocate a position, my primary aim in this chapter is to spell out all these relationships and canvas the positions that have been taken (or could be taken) with respect to mechanistic explanation in psychology, using dynamical systems models and cognitive models (or functional analyses) as examples. (shrink)

This paper defends the view that discovering that our universe is fine-tuned should make us more confident that other universes exist. My defense exploits a distinction between ideal and non-ideal evidential support. I use that distinction in concert with a simple model to disarm the most influential objection—the this-universe objection—to the view that fine-tuning supports the existence of other universes. However, the simple model fails to capture some important features of our epistemic situation with respect to fine-tuning. To capture these (...) features, I introduce a more sophisticated model. I then use the more sophisticated model to show that, even once those complicating factors are taken into account, fine-tuning should boost our confidence in the existence of other universes. (shrink)

The paper traces some of the assumptions that have informed conservative naturalism in linguistic theory, critically examines their justification, and proposes a more liberal alternative.

The AI revolution provides a neat illustration of C.P. Snow's ideas regarding "the two cultures" and a timely opportunity to reflect on why mutual suspicion persists between those in the natural sciences, on the one hand, and the humanities (and to an extent the social sciences), on the other.

Curious about something? Google it. Look at it. Ask a question. But is curiosity simply information seeking? According to this exhilarating, genre-bending book, what’s left out of the conventional understanding of curiosity are the wandering tracks, the weaving concepts, the knitting of ideas, and the thatching of knowledge systems—the networks, the relations between ideas and between people. Curiosity, say Perry Zurn and Dani Bassett, is a practice of connection: it connects ideas into networks of knowledge, and it connects knowers themselves, (...) both to the knowledge they seek and to each other. -/- Zurn and Bassett—identical twins who write that their book “represents the thought of one mind and two bodies”—harness their respective expertise in the humanities and the sciences to get irrepressibly curious about curiosity. Traipsing across literatures of antiquity and medieval science, Victorian poetry and nature essays, as well as work by writers from a variety of marginalized communities, they trace a multitudinous curiosity. They identify three styles of curiosity—the busybody, who collects stories, creating loose knowledge network; the hunter, who hunts down secrets or discoveries, creating tight networks; and the dancer, who takes leaps of creative imagination, creating loopy ones. Investigating what happens in a curious brain, they offer an accessible account of the network neuroscience of curiosity. And they sketch out a new kind of curiosity-centric and inclusive education that embraces everyone’s curiosity. The book performs the very curiosity that it describes, inviting readers to participate—to be curious with the book and not simply about it. (shrink)

This volume offers a collection of in-depth explorations of pragmatism as a framework for discussions in philosophy of science and metaphysics. Each chapter involves explicit reflection on what it means to be pragmatist, and how to use pragmatism as a guiding framework in addressing topics such as realism, unification, fundamentality, truth, laws, reduction, and more. -/- .

The debate about the foundations of mathematical sciences traces back to Greek antiquity, with Euclid and the foundations of geometry. Through the flux of history, the debate has appeared in several shapes, places, and cultural contexts. Remarkably, it is a locus where logic, philosophy, and mathematics meet. In mathematical astronomy, Nicolaus Copernicus’s axiomatic approach toward a heliocentric theory of the universe has prompted questions about foundations among historians who have studied Copernican axioms in their terminological and logical aspects but never (...) examined them as a question of mathematical practice. Copernicus provides seven unproved assumptions in the introduction of the brief treatise entitled Nicolaus Copernicus’s draft on the models of celestial motions established by himself, better known as Commentariolus (ca. 1515), published circa 30 years before the final composition of his heliocentric theory (On the revolutions of the heavenly spheres, 1543). The assumptions deal with the renowned Copernican hypothesis of considering the Earth in motion and the Sun, not affected by motion, near the center of the universe. Although Copernicus decides to omit the proofs for the sake of brevity, the deductions in the Commentariolus are supposed to be drawn from the initial seven assumptions. Questions on the nature (are they postulates or axioms?) and the logic (is there an internal rigor?) of those assumptions have yet to be fully explored. By examining Copernicus’s seven assumptions as a question of mathematical practice, it is possible to hold historical, philosophical, and logical aspects of Copernican axiomatics together and understand them as part of Copernicus’s intuition and creativity. (shrink)

The Ontology of Knowledge (OK) does not claim to expose the truth of reality but only to propose a coherent model of representation according to which: -Reality is not subject to form or time. -The Knowing Subject is a wave of meaning running through the immobile reality.

People are increasingly exposed to conflicting health information and must navigate this information to make numerous decisions, such as which foods to consume, a process many find difficult. Although some consumers attribute these disagreements to aspects related to uncertainty and complexity of research, many use a narrower set of credibility-based explanations. Experts’ views on disagreements are underinvestigated and lack explicit identification and classification of the differences in causes for disagreement. Consequently, there is a gap in existing literature to understand the (...) range of reasons for these contradictions. Combining the findings from a literature study and expert interviews, a taxonomy of disagreements was developed. It identifies 10 types of disagreement classified under three dimensions: informant-, information- and uncertainty-related causes for disagreement. The taxonomy may assist with adoption of more effective strategies to deal with conflicting information and contributes to research and practice of science communication in the context of disagreement. (shrink)

For a long time, emotions were seen as incompatible with rationality and objectivity of science, and so were a marginal topic in the philosophy of science. This trend has changed progressively since it was determined that objectivity is much linked to social factors while rationality can’t do without emotions. As a result, emotions are now slowly finding their way into our understanding of what science is. Here, I make an overview of some aspects of science where emotions and scientific reasoning (...) seem to come into tight contact. For my survey, I will consider such themes as scientific motivation, scientific evaluations, scientific explanations, scientific understanding, scientific imagination, and coherence in science. Using these examples, I discuss the epistemic role of emotions in scientific progress. In conclusion, I advocate for a nuanced view of emotions in science as values that contribute to both epistemic and humanistic dimensions of science. (shrink)

Some experimental results in science are productively surprising or beautiful. Such results are disruptive in their epistemic nature: by violating epistemic expectations they mark the phenomenon at hand as worthy of further investigation. Could it be that there are emotions beyond these two which are also useful for the epistemic evaluation of scientific experiments? Here, I conduct a structured sociological survey to explore affective experiences in scientific experimental research. I identify that learning the results of an experiment is the high (...) emotional point in the experimenting process. Thus, experimental results can be challenging, beautiful, or boring, and they can worry, amuse, make one sad, and so on. They can also drive meta-cognitive evaluations as well as motivate specific research-related actions. From this, I advance two claims: that emotions beyond surprise and disruptive beauty are epistemically useful in empirical research, and that emotions help to overcome specific challenges of reasoning about new experimental results. (shrink)

Artificial intelligence (AI) technologies are used in various domains of human activities, and one of these domains is scientific research. Now, researchers in many scientific areas try to apply AI technologies to their research and automate it. These researchers claim that the ‘automation of science’ will liberate people from non-creative tasks in scientific research, and radically change the overall state of science and technology so that large-scale innovation results. As I see it, the automation of science is remarkable in another (...) respect: since science is one of the most distinctive human activities, the tendency of automating it prompts us to reconsider the aspects of our humanity itself. One of these aspects is concerned with human creativity, on which this article focuses. In this article, I address two questions concerning the automation of science: first, ‘Can AI makes creative discovery?’; second, ‘What implications may the automation of science have on science and society?’. Scientific discovery is said to be one of the most creative phases of scientific research. I show that, though there are no reasons in principle why AI could not make creative discovery, we do not at present have enough knowledge how to realize it. If the automation of science nevertheless proceeds, the cultural values science as a creative activity has might be reduced, and it might alter the state of scientific community and its relationship with society in some undesirable way. Therefore, I conclude, we need to specify desirable ways of introducing AI technologies into science and devise measures against demerits of automating science. (shrink)

According to an influential view, when it comes to representing reality, some words are better suited for the job than others. This is elitism. There is reason to believe that the set of the best, or elite, words should not be redundant or arbitrary. However, we are often forced to choose between these two theoretical vices, especially in cases involving theories that seem to be mere notational variants. This is the riddle of redundancy: both redundancy and arbitrariness are vicious, but (...) there are cases in which one must be picked. Logical realists admit that there are some logical constants among the elite words. This leads to awkward questions, such as which among conjunction and disjunction is elite. In this paper, I show how the riddle of redundancy arises for logical realists, and offer a solution. This approach requires us to change how we represent negation. Instead of using some particular symbol, we represent negation by flipping formulae over the horizontal axis. (shrink)

Using the corpus of JSTOR articles, we investigate the role of gender in collaboration patterns across the scholarly landscape by analyzing gender-based homophily--the tendency for researchers to co-author with individuals of the same gender. For a nuanced analysis of gender homophily, we develop methodology necessitated by the fact that the data comprises heterogeneous sub-disciplines and that not all authorships are exchangeable. In particular, we distinguish three components of gender homophily in collaborations: a structural component that is due to demographics and (...) non-gendered authorship norms of a scholarly community, a compositional component which is driven by varying gender representation across sub-disciplines, and a behavioral component which we define as the remainder of observed homophily after its structural and compositional components have been taken into account. Using minimal modeling assumptions, we measure and test for behavioral homophily. We find that significant behavioral homophily can be detected across the JSTOR corpus and show that this finding is robust to missing gender indicators in our data. In a secondary analysis, we show that the proportion of female representation in a field is positively associated with significant behavioral homophily. (shrink)

All of us, including scientists, make judgments about what is true or false, probable or improbable. And in the process, we frequently appeal to concepts such as evidential support or explanation. Bayesian philosophers of science have given illuminating formal accounts of these concepts. This paper aims to follow in their footsteps, providing a novel formal account of various additional concepts: the likelihood-prior trade-off, successful accommodation of evidence, ad hocness, and, finally, consilience—sometimes also called “unification”. Using these accounts, I also provide (...) a new Bayesian analysis of how someone such as Charles Darwin hypothetically could have reasoned in favor of evolution over special creationism. Lastly, I explore how these accounts relate to other topics and accounts in philosophy, and I chart out some areas for further research. (shrink)

This paper examines the role existence plays in measurement validity. I argue that existing popular theories of measurement and of validity follow a correspondence framework, which starts by assuming that an entity exists in the real world with certain properties that allow it to be measurable. Drawing on literature from the sociology of measurement, I show that the correspondence framework faces several theoretical and practical challenges. I suggested the validity-first framework of measurement, which starts with a practice-based validation process as (...) the basis for a measurement theory, and only posits objective existence when it is scientifically useful to do so. (shrink)

All research is immersed in the competition for knowledge, but this is not always governed by fairness. In this opinion article, I elaborate on indicators of unfairness to be found in both evaluation guides and evaluation panels, and I spontaneously offer a number of rules of thumb meant to keep it at bay. Although they are explicitly offered to the Portuguese Foundation for Science and Technology (FCT) and in particular to the evaluation panel for Philosophy, Ethics and Religion of FCT's (...) fifth edition of their Individual Call to Scientific Employment Stimulus, here used as concrete illustrations of unfairness, my rules of thumb are guaranteed to promote fairness in the competition for knowledge in general. (shrink)

The debate concerning the scientific or unscientific status of the social sciences and the question of the (in) applicability of the methods of research in the natural sciences to social investigations are still unsettled in Philosophy of the Social Sciences. Some of the questions which are often asked concerning these issues include: are the social sciences really scientific? Do they merit the name science? Can we apply the same methods used in the natural research to social research? Are the objects (...) of inquiry in both areas the same? Attempts to answer these questions and numerous related others, have polarized Philosophers of the social sciences into two different ideological camps. Those who answer the questions affirmatively are regarded as the naturalists while those who answer negatively are regarded as the anti-naturalists or humanists. However, using the methods of critical argumentation and conceptual clarification, we intend to argue in this paper for a complementary ground between the two. Consequently, we contend that though the methods of the natural and the social sciences are different due to the fact that their respective objects of investigations are not the same, methods of the two fields are imperative to inquiries that would promote human knowledge and aid their intellectual development. This is necessary in order to foster interdisciplinary research and de-compartmentalisation of disciplines. We also intend to argue that the view that the social sciences are not scientific arose from a narrow conception of the term “science.” Our submission, therefore, is that the social sciences, legitimately, are sciences in their own right. (shrink)

In this paper, we will argue that, while Big Data enthusiasts imply that the analysis of massive data sets can produce serendipitous (that is, unexpected and fortunate) discoveries, the way those models are currently designed not only does not create serendipity so easily but also frequently generates zemblanitous (that is, expected and unfortunate) findings.

About this book Hilary Whitehall Putnam was one of the leading philosophers of the second half of the 20th century. As student of Rudolph Carnap's and Hans Reichenbach's, he went on to become not only a major figure in North American analytic philosophy, who made significant contributions to the philosophy of mind, language, mathematics, and physics but also to the disciplines of logic, number theory, and computer science. He passed away on March 13, 2016. The present volume is a memorial (...) to his extraordinary intellectual contributions, honoring his contributions as a philosopher, a thinker, and a public intellectual. It features essays by an international team of leading philosophers, covering all aspects of Hilary Putnam's philosophy from his work in ethics and the history of philosophy to his contributions to the philosophy of science, logic, and mathematics. Each essay is an original contribution. -/- Author information James Conant, Univ. of Chicago/Univ. of Leipzig, USA/Germany; Sanjit Chakraborty, IISER Kolkata/VIT-AP University, India. (shrink)

In “A Tension in the Strong Program: The Relation between the Rational and the Social”, Shahram Shahryari (2021) advances the following thesis: In his Strong Program in the sociology of science, David Bloor blames traditional philosophy of science for adopting a dualist strategy in explaining scientific developments, as it employs rational explanation for successful science and social explanation for flawed science. Instead, according to Bloor, all scientific developments should be explained monistically, i.e. in terms of social causes. This is also (...) referred to as the Symmetry Principle, and it is a key tenet in the Strong Program. The author detects a tension here, as Bloor apparently asserts that traditional philosophy of science deploys two kinds of explanation, and simultaneously insists that there is only one kind, i.e. social explanation. (shrink)

Which country, politician, or policy is more of a cause of the Covid-19 pandemic death toll? Which of the two factories causally contributed more to the pollution of the nearby river? A wide-ranging portion of our everyday thought and talk, and attitudes rely on a graded notion of causation. However, it is sometimes highlighted that on most contemporary accounts, causation is on-off. Some philosophers further question the legitimacy of talk of degrees of causation and suggest that we avoid it. Some (...) hold that the notion of degrees of causation is an illusion. In this paper, I’ll argue that causation does come in degrees. (shrink)

El presente artículo tiene como propósito criticar y reformular la teoría de valores del autor y filósofo argentino Risieri Frondizi. Para ello, se someterán a falsacionismo las tesis según las cuales la cualidad estructural es, primero, estructuralista y no analítica y, segundo, empírica, de acuerdo con la metodología holista de la ciencia. La crítica, así, se desarrollará a partir de los siguientes interrogantes. Inicialmente, ¿el autor acude al holismo o al reduccionismo como enfoques metodológicos de desarrollo? Finalmente, ¿cuál es la (...) distinción lógica entre el valor como cualidad sui géneris y el valor como cualidad estructural? (shrink)