A small but growing body of philosophically informed survey work calls into question whether the value-free ideal is a dominant viewpoint among scientists. However, the survey instruments in used in these studies have important limitations. Previous work has also made little headway in developing hypotheses that might predict or explain differing views about the value-free ideal among scientists. In this article, we review previous survey work on this topic, describe an improved survey instrument, report results from an initial administration of (...) it that strengthen and refine previous results, and develop two hypotheses that may account for gender effects found in the data. (shrink)

Subjective Bayesianism is a major school of uncertain reasoning and statistical inference. It is often criticized for a lack of objectivity: it opens the door to the influence of values and biases, evidence judgments can vary substantially between scientists, it is not suited for informing policy decisions. My paper rebuts these concerns by connecting the debates on scientific objectivity and statistical method. First, I show that the above concerns arise equally for standard frequentist inference with null hypothesis significance tests. Second, (...) the criticisms are based on specific senses of objectivity with unclear epistemic value. Third, I show that Subjective Bayesianism promotes other, epistemically relevant senses of scientific objectivity—most notably by increasing the transparency of scientific reasoning. (shrink)

Explaining phenomena is a primary goal of science. Consequently, it is unsurprising that gaining a proper understanding of the nature of explanation is an important goal of science education. In order to properly understand explanation, however, it is not enough to simply consider theories of the nature of explanation. Properly understanding explanation requires grasping the relation between explanation and understanding, as well as how explanations can lead to scientific knowledge. This article examines the nature of explanation, its relation to understanding, (...) and how explanations are used to generate scientific knowledge via inferences to the best explanation. Studying these features and applications of explanation not only provides insight into a concept that is important for science education in its own right, but also sheds light on an aspect of recent debates concerning the so-called consensus view of nature of science (NOS). Once the relation between explanation, understanding, and knowledge is clear, it becomes apparent that science is unified in important ways. Seeing this unification provides some support for thinking that there are general features of NOS of the sort proposed by the consensus view and that teaching about these general features of NOS should be a goal of science education. (shrink)

This second research paper on science education in Māori‐medium school contexts complements an earlier article published in this journal (Stewart, 2005). Science and science education are related domains in society and in state schooling in which there have always been particularly large discrepancies in participation and achievement by Māori. In 1995 a Kaupapa Māori analysis of this situation challenged New Zealand science education academics to deal with ‘the Māori crisis’ within science education. Recent NCEA results suggest Pūtaiao (Māori‐medium Science) education, (...) for which a national curriculum statement was published in 1996, has so far increased, rather than decreased, the level of inequity for Māori students in science education. What specific issues impact on this lack of success, which contrasts with the overall success of Kura Kaupapa Māori, and how might policy frameworks and operational systems of Pūtaiao need to change, if better achievement in science education for Māori‐medium students is the goal? A pathway towards further research and development in this area is suggested. (shrink)

Contributing to the recent debate on whether or not explanations ought to be differentiated from arguments, this article argues that the distinction matters to science education. I articulate the distinction in terms of explanations and arguments having to meet different standards of adequacy. Standards of explanatory adequacy are important because they correspond to what counts as a good explanation in a science classroom, whereas a focus on evidence-based argumentation can obscure such standards of what makes an explanation explanatory. I provide (...) further reasons for the relevance of not conflating explanations with arguments (and having standards of explanatory adequacy in view). First, what guides the adoption of the particular standards of explanatory adequacy that are relevant in a scientific case is the explanatory aim pursued in this context. Apart from explanatory aims being an important aspect of the nature of science, including explanatory aims in classroom instruction also promotes students seeing explanations as more than facts, and engages them in developing explanations as responses to interesting explanatory problems. Second, it is of relevance to science curricula that science aims at intervening in natural processes, not only for technological applications, but also as part of experimental discovery. Not any argument enables intervention in nature, as successful intervention specifically presupposes causal explanations. Students can fruitfully explore in the classroom how an explanatory account suggests different options for intervention. (shrink)

The ‘death of evidence’ issue in Canada raises the spectre of politicized science, and thus the question of what role social values may have in science and how this meshes with objectivity and evidence. I first criticize philosophical accounts that have to separate different steps of research to restrict the influence of social and other non-epistemic values. A prominent account that social values may play a role even in the context of theory acceptance is the argument from inductive risk. It (...) maintains that the more severe the social consequences of erroneously accepting a theory would be, the more evidence is needed before the theory may be accepted. However, an implication of this position is that increasing evidence makes the impact of social values converge to zero; and I argue for a stronger role for social values. On this position, social values may determine a theory’s conditions of adequacy, which among other things can include co.. (shrink)

Responsible public policy making in a technological society must rely on complex scientific reasoning. Given that ordinary citizens cannot directly assess such reasoning, does this call the democratic legitimacy of technical public policies in question? It does not, provided citizens can make reliable second-order assessments of the consensus of trustworthy scientific experts. I develop criteria for lay assessment of scientific testimony and demonstrate, in the case of claims about anthropogenic global warming, that applying such criteria is easy for anyone of (...) ordinary education with access to the Web. However, surveys show a gap between the scientific consensus and public opinion on global warming in the U.S. I explore some causes of this gap and argue that democratic reforms of our culture of political discourse may be able to address it. (shrink)

In this paper, I take a critical look at the Davidsonian argument that metaphorical sentences do not express propositions because of the phenomenological experience—seeing one thing as another thing—involved in understanding them as metaphors. According to Davidson, seeing-as is not seeing-that. This verdict is aimed at dislodging metaphor from the position of being assessed with the semantic notions of propositions, meaning, and truth. I will argue that the phenomenological or perceptual experience associated with metaphors does not determine the propositional contentfulness (...) or truth-evaluability of metaphors. Truth-evaluability is not inconsistent but compatible with a perceptual model for metaphors. I argue for this partly by showing that seeing-as does not constitute understanding of metaphors when understanding is appropriately construed in terms of being able to use an expression. (shrink)

We offer a new account of the role of values in theory choice that captures a temporal dimension to the values themselves. We argue that non-epistemic values sometimes serve as “inquiry tickets,” justifying scientists’ pursuit of certain questions in the short run, while the answers to those questions mitigate transient underdetermination in the long run. Our account of inquiry tickets shows that the role of non-epistemic values need not be restricted to belief or acceptance in order to be relevant to (...) hypothesis choice: the relevance of non-epistemic values to a particular cognitive attitude with respect to h vary over time. (shrink)

Some exchanges of reasons are agonistic. Others work mutually, as in planning and adjusting divergent understanding. Mutual argumentation subconsciously yields judgment that integrates and clarifies a common vision coordinating interrelated lives. It harmonizes agents sharing a space of action and understanding. Pierre Bourdieu held that such thought generates and expresses culture, patterning a logic that reflexively constrains itself. This discussion examines Bourdieu’s views as an analysis of mutual argumentation.

is normative in the sense that it aims to make recommendations for improving human judgment; it aims to have a practical impact on morally and politically significant human decisions and actions; and it studies normative, rational judgment qua rational judgment. These nonstandard ways of understanding ACP as normative collectively suggest a new interpretation of the strong replacement thesis that does not call for replacing normative epistemic concepts, relations, and inquiries with descriptive, causal ones. Rather, it calls for recognizing that the (...) aims and normative inquiries of epistemology and normative psychology have become intermutual in nature. Key Words: Heuristics and biases • applied cognitive psychology • normative psychology • rationality • naturalized epistemology • Epistemics • Applied Naturalized Epistemology • strong replacement • strategic reliabilism • ameliorative psychology. (shrink)

Many philosophers and statisticians argue that risk assessors are morally obligated to evaluate the probabilities and consequences of methodological error, and to base their decisions of whether to adopt a given parameter value, model, or hypothesis on those considerations. This argument is couched within the rubric of null hypothesis testing, which I suggest is a poor descriptive and normative model for risk assessment. Risk regulation is not primarily concerned with evaluating the probability of data conditional upon the null hypothesis, but (...) rather with measuring risks, estimating the consequences of available courses of action and inaction, formally characterising uncertainty, and deciding what to do based upon explicit values and decision criteria. In turn, I defend an ideal of value-neutrality, whereby the core inferential tasks of risk assessment – such as weighing evidence, estimating parameters, and model selection – should be guided by the aim of correspondence to reality. This is not to say that value-judgments be damned, but rather that they should be accounted for within a structured approach to decision analysis, rather than embedded within risk assessment in an informal manner. (shrink)

My aim in this paper is to rebut objections that have been made of the account of the various roles for values in scientific activities that I have developed, initially in my book Is Science Value Free?, in response to criticizing the proposal that science is value free. Specifically I respond to objections that my account does not recognize the significance of basic science, and that my defense of the ideal of impartiality cannot be sustained.

An empirically sensitive formulation of the norms of transformative criticism must recognize that even public and shared standards of evaluation can be implemented in ways that unintentionally perpetuate and reproduce forms of social bias that are epistemically detrimental. Helen Longino’s theory can explain and redress such social bias by treating peer evaluations as hypotheses based on data and by requiring a kind of perspectival diversity that bears, not on the content of the community’s knowledge claims, but on the beliefs and (...) norms of the culture of the knowledge community itself. To illustrate how socializing cognition can bias evaluations, we focus on peer-review practices, with some discussion of peer-review practices in philosophy. Data include responses to surveys by editors from general philosophy journals, as well as analyses of reviews and editorial decisions for the 2007 Cognitive Science Society Conference. (shrink)

: The underdetermination argument establishes that scientists may use political values to guide inquiry, without providing criteria for distinguishing legitimate from illegitimate guidance. This paper supplies such criteria. Analysis of the confused arguments against value-laden science reveals the fundamental criterion of illegitimate guidance: when value judgments operate to drive inquiry to a predetermined conclusion. A case study of feminist research on divorce reveals numerous legitimate ways that values can guide science without violating this standard.

I offer a view of the aims and responsibilities of science, and use it to analyze critically van Fraassen’s view that ‘objectifying inquiry’ is fundamental to the nature of science.

This paper investigates the ethical implications of research at the interface between biodiversity and both human and animal health. Health and sanitary crises often lead to ethical debates, especially when it comes to disruptive interventions such as forced vaccinations, quarantine, or mass culling of domestic or wild animals. In such debates, the emergence of a “Planetary health ethics” can be highlighted. Ethics and accountability principles apply to all aspects of scientific research including its technological and engineering applications, regardless of whether (...) they are considered “hard sciences”, such as state-of-the-art technology in the fields of medicine, veterinary medicine, agronomy, or environment, or “soft”, such as local or global governance, health, socio-ecosystems, and the environment. Ethical reflection in the interdisciplinary field of biodiversity and health requires the examination of relevant scientific domains, such as biology, ecology, evolution, human medicine, animal medicine, anthropology, and law, and their epistemology and representation as well as scientific pluralism, which is crucial to establish genuine interdisciplinarity. Navigating the ethics-scape necessitates going beyond the hierarchy of science by recognising that scientific knowledge has implications for both scientific and non-scientific perspectives on the study of nature. The example of a Nipah virus outbreak is used to illustrate how the so-called “modern epidemiological” approach often focuses on risk factors associated with individual behavioural characteristics or collective practices, whereas the so-called “eco-social” approach focuses on global, socio-economic, and environmental factors that are the contextual causes of the health problem affecting the community. “Modern epidemiologists” aim to “correct” individual or practice factors using a “minimal set” of ethics, whereas “eco-social” scientists have to act systemically, which requires integrated research that acknowledges scientific pluralism, avoids the hierarchy of sciences, but accepts the pluralism of ethics and values. (shrink)

The work consists in a discussion of the thesis of neutrality of science and technology, which takes as its starting point some formulations in the Parâmetros Curriculares Nacionais. Neutrality is analised into three components: imparciality, applied neutrality and cognitive neutrality. It is shown that imparciality must be maintained, to avoid falling into relativism, but applied neutrality cannot be sustained, neither as fact nor as value.O texto apresenta uma discussão da tese da neutralidade da ciência, tomando como ponto de partida algumas (...) formulações dos Parâmetros Curriculares Nacionais. A neutralidade é analisada em três componentes: a imparcialidade, a neutralidade aplicada e a neutralidade cognitiva. Procura-se mostrar que, para não se cair no relativismo, a imparcialidade deve ser mantida, mas a neutralidade aplicada não se sustenta, nem como fato nem como valor. (shrink)