How to Incorporate Non-Epistemic Values into a Theory of Classification

Non-epistemic values play important roles in classificatory practice, such that philosophical accounts of kinds and classification should be able to accommodate them. Available accounts fail to do so, however. Our aim is to fill this lacuna by showing how non-epistemic values feature in scientific classification, and how they can be incorporated into a philosophical theory of classification and kinds. To achieve this, we present a novel account of kinds and classification (the Grounded Functionality Account), discuss examples from biological classification where non-epistemic values play decisive roles, and show how this account accommodates the role of non-epistemic values.

Data-driven news work culture: Reconciling tensions in epistemic values and practices of news journalism

This study investigates the epistemological implications of the appropriation of audience analytics in a data-driven news culture. Focussing on two central aspects of epistemology, epistemic value and epistemic practices, we ask two overall questions (1) How are audience metrics balanced and reconciled in relation to other standards in the justification of news as valuable knowledge? How are different practices of research and presentation, truth-seeking and truth-telling, prioritized in a news organization marked as a data-driven news work culture? The study presents a case study of a Scandinavian legacy news publisher that has pursued the embracing of a data-driven news work culture. It is based on a qualitative multi-method approach. The findings show how metrics are used as a superior standard in deciding on the epistemic value of news. This is expressed in strategies, guidelines and discussions in the newsroom, and put into practice in coaching, evaluations and rewarding of the performance of individual journalists. In the everyday news production, metrics are reconciled in relation to independent standards in journalism, related to the claims of news journalism to provide relevant and verified public knowledge about current events. Moreover, the study shows how the embracement of metrics radicalizes the focus on presentation, packaging and timing in the optimization of news material and in the valuing of professional practices. Efforts in research and truth seeking are more seldom explicitly valued. The work of fulfilling reasonable truth claims is mainly taken for granted.

Consumption values, anxiety and organic food purchasing behaviour considering the moderating role of sustainable consumption attitude

PurposeThis study aims to identify and describe the relationships among different consumption values, anxiety and organic food purchase behaviour considering the moderating role of sustainable consumption attitude from the viewpoint of the theory of consumption values.Design/methodology/approachData were collected using a structured questionnaire survey in first-tier cities in China. A total of 344 consumers of organic foods participated in the study. Structural equation modelling and hierarchical regression analysis were employed for data analysis.FindingsThe results indicated the significant association of functional value-price, emotional value, social value and epistemic value with purchase behaviour. Anxiety had a positively significant influence on functional (quality), functional (price), emotional, social, conditional and epistemic values. In addition, the results indicated that functional (price), emotional, social and epistemic values played mediating effects in the relationships between anxiety and purchase behaviour. Moreover, sustainable consumption attitude had a positive moderating effect on functional value-price and purchase behaviour.Practical implicationsThe research not only provides novel and original insights for understanding organic consumption but also provides a reference for organic retailers to develop sales strategies and policymakers to formulate policies to guide organic consumption that are conducive to promoting sustainable consumption.Originality/valueFor the first time, this research attempts to explore the relationships among different consumption values, anxiety and purchase behaviour. It may improve the gap of inconsistency in attitude and behaviour in organic consumption, and provide a new perspective for the study of organic consumption.

Science in Transition How Science Goes Wrong and What to Do About It

Science in Transition, which started in 2013, is a small-scale Dutch initiative that presented a systems approach, comprised of analyses and suggested actions, based on experience in academia. It was built on writings by early science watchers and most recent theoretical developments in philosophy, history and sociology of science and STS on the practice and politics of science. This chapter will include my personal experiences as one of the four Dutch founders of Science in Transition. I will discuss the message and the various forms of reception over the past 6 years by the different actors in the field, including administrators in university, academic societies and Ministries of Higher Education, Economic Affairs and Public Health but also from leadership in the private sector. I will report on my personal experience of how these myths and ideologies play out in the daily practice of 40 years of biomedical research in policy and decision making in lab meetings, at departments, at grant review committees of funders and in the Board rooms and the rooms of Deans, Vice Chancellors and Rectors.It has in the previous chapters become clear that the ideology and ideals that we are brought up with are not valid, are not practiced despite that even in 2020 they are still somehow ‘believed’ by most scientists and even by many science watchers, journalists and used in political correct rhetoric and policy making by science’s leadership. In that way these ideologies and beliefs mostly implicitly but sometimes even explicitly determine debates regarding the internal policy of science and science policy in the public arena. These include all time classic themes like the uniqueness of science compared to any other societal activity; ethical superiority of science and scientists based on Mertonian norms; the vocational disinterested search for truth, autonomy; values and moral (political) neutrality, dominance of internal epistemic values and unpredictability regards impact. These ideas have influenced debates about the ideal and hegemony of natural science, the hierarchy of basic over applied science; theoretical over technological research and at a higher level in academic institutions and at the funders the widely held supremacy of STEM over SSH. This has directly determined the attitudes of scientists in the interaction with peers within the field, but also shaped the politics of science within science but also with policy makers and stakeholders from the public and private sector and with interactions with popular media.Science it was concluded was suboptimal because of growing problems with the quality and reproducibility of its published products due to failing quality control at several levels. Because of too little interactions with society during the phases of agenda setting and the actual process of knowledge production, its societal impact was limited which also relates to the lack of inclusiveness, multidisciplinarity and diversity in academia. Production of robust and significant results aiming at real world problems are mainly secondary to academic output relevant for an internally driven incentive and reward system steering for academic career advancement at the individual level. Similarly, at the higher organizational and national level this reward system is skewed to types of output and impact focused on positions on international ranking lists. This incentive and reward system, with flawed use of metrics, drives a hyper-competitive social system in academia which results in a widely felt lack of alignment and little shared value in the academic community. Empirical data, most of it from within science and academia, showing these problems in different academic disciplines, countries and continents are published on virtually a weekly basis since 2014. These critiques focus on the practices of scholarly publishing including Open Access and open data, the adverse effects of the incentive and reward system, in particular its flawed use of metrics. Images, ideologies and politics of science were exposed that insulate academia and science from society and its stakeholders, which distort the research agenda and subsequentially its societal and economic impact.

Epistemic values and the Big Five: Personality characteristics of those who ascribe personal and moral value to epistemic rationality

People differ in how much personal importance, and moral relevance, they ascribe to epistemic rationality. These stable individual differences can be assessed using the Importance of Rationality Scale (IRS), and Moralized Rationality Scale (MRS). Furthermore, these individual differences are conceptually distinct, and associated with different cognitive, affective, and behavioral outcomes. However, little is known about what signifies and differentiates people who score high (vs. low) on the IRS and MRS respectively, and where these individual differences stem from. In the present research we begin to address these questions by examining how these epistemic values relate to the Big Five personality traits. Two studies consistently show that both the IRS and MRS are positively related to Openness to experience. However, only the MRS is negatively associated with Agreeableness, and only the IRS is positively associated with Conscientiousness.

Sharing Leftover Food with Strangers via Social Media: A Value Perspective Based on Beliefs-Values-Behavior Framework

An emergent effort to reduce wasted food is to share uneaten food with others via social media. However, the following question arises: Are those unknown people willing to take my leftovers? Few studies address the above question. Hence, developing a comprehensive model that explains the acceptance of leftover food from strangers (LFFS) via social media warrants research attention. Considering the dual roles LFFS recipients play—namely, both peer-to-peer (P2P) technology user and service consumer—the study embraces diverse motivational factors across research disciplines to explain LFFS acceptance. Drawing on technology and marketing research, the study develops a value-based model to investigate consumer acceptance of LFFS via social media. The study examines the effects of two prominent consumers’ beliefs (cognitive interaction and affective trust) on their context-specific value perception (conditional and epistemic values) toward LFFS, and the impact of these perceived values on the acceptance of the leftover food from strangers. The study employed a two-stage data collection approach and collected 663 usable questionnaire packets from two major metropolitan areas in Taiwan. Using a Structural Equation Model (IBM SPSS Amos) to analyze the data, the results indicate that trust and interactivity relate positively to consumer perceived value (both conditional and epistemic) of LFFS. Furthermore, both conditional and epistemic values mediate the relationships between the proposed consumer beliefs and LFFS acceptance. The research helps create a sustainable society as sharing uneaten food with other unknown social community members provides a connected, diverse, and sustainable life.