Shoshana Zuboff’s international bestseller, The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power, was reviewed in the Wall Street Journal as a book that asks us ‘to pause long enough to think about the future and how it might be different from today.’ That description could work as the definition of the literary utopia or dystopia. In fact, Zuboff’s book has consecutive chapters titled ‘Big Other and the Rise of Instrumentalist Power’ (...) and ‘A Utopia of Certainty’. In the former chapter, the title of which seems to reference George Orwell’s Nineteen Eighty-Four, Zuboff argues that there now exists a ‘ubiquitous digital apparatus’ that ‘renders, monitors, computes and modifies human behaviour’. In the latter chapter she asserts that the ‘surveillance capitalist leaders [such as Mark Zuckerberg and Larry Page, CEOs of Facebook and Google respectively] are sui generis utopianists’. This article critically assesses Zuboff’s claims in relation to Dave Eggers’ 2013 novel The Circle, where the eponymous utopian/dystopian company’s name, as well its motto ‘ALL THAT HAPPENS MUST BE KNOWN’ gesture towards Jeremy Bentham’s panopticon writings. This article explores Zuboff’s factual and Eggers’ fictional examinations of surveillance capitalism. While Zuboff’s and Eggers’ works have different points of departure and modes of representation, a comparative reading suggests key points of overlap and disagreement about the impact of surveillance in the contemporary world, about what the future might hold, and about how we should respond. (shrink)

How can one make sense of our current political, ecological and technological dilemmas through the lens of Grant Sputore’s I Am Mother (2019)? Well-received, the film has been commended for its account of the increasing role and impact of artificial intelligence and its relation to our ongoing ecological dilemmas and potential catastrophe. While these issues are played-out through the on-screen relationship between robotic mother and human daughter, the film can also be used to help shed light on our current ideological (...) predicaments. With a narrative that steers towards our preference for cynical detachment, apathy and resignation, this review draws upon Lacan’s notion of the big Other, and its relation to the subject, in order to provide further discussion on the film’s ambiguous ending and the deeper sense of impotence that it accurately portrays with regards to our current political malaise. (shrink)

This article reads Cherokee academic/author Thomas King’s “The One About Coyote Going West” and Okanagan writer Jeannette Armstrong’s “This is a Story” to question whether these Aboriginal creation tales subvert the referential race codes and the kinds of hierarchical exclusion that take place in Caucasian discourses about Homo sapiens. To do so, it draws links between Slavoj Zizek’s post identity theories, and post-colonial and Indigenous literary and nationalist epistemologies, to challenge the implications of how the Coyote narratives transformation the hegemony, (...) or “the big Other.”. (shrink)

Alongside the increasing popularity of digital, ‘social’ media platforms, has been the emergence of self-styled digital life-coaches, many of whom seek to propagate their knowledge of and interests in a variety of topics through online social networks (such as, Facebook, Youtube, Instagram, etc.). With many of these ‘social influencers’ garnering a large online following, their popularity, social significance and cultural impact offers important insights into the place and purpose of the subject in our digital media environment. Accordingly, this chapter will (...) examine the proliferation of digital media technologies, which, on the one hand, propose the dissolution of the subject (wearable technology, technological singularity, etc.), while on the other, provide new opportunities for discovering, ‘sharing’ and/or improving one’s ‘inner-Self’ (digital media gurus, online health and fitness regimes, etc.). It is in considering how the effects of this ‘digital subject’ redefines traditional (Cartesian) conceptions, that the relative significance of ‘Digital Guru Media’ (DGM) can be drawn. In particular, explicit attention is given to examining how our engagements with social media can be considered in relation to Lacan’s (2002) notion of the big Other and its relevance in introducing, examining and, possibly, subverting, the digital media guru. (shrink)

Using embodied sociology, this article offers a virtual ethnography of ‘fat male embodiment’. Reporting and analysing qualitative data generated online, it includes a typology of big/fat male body-subjects and supportive/admiring others. These fat-friendly typifications are unpacked by referencing advocated codes of self–body relatedness, sexualities and the relevance of food. The virtual construction of acceptable, admirable or resistant masculinities is then explored under the following headings: (1) appeals to ‘real’ or ‘natural’ masculinity; (2) the admiration and eroticization of fat men’s bodies; (...) (3) transgression, fun and the carnivalesque; and (4) the pragmatics and politics of fat male embodiment. While alternative (positive) understandings of fatness are presented online, discrepancies between virtual and actual identities render stigma an ever-present possibility for those with ‘real’ fat male bodies. (shrink)

Big Ideas for Little Kids includes everything a teacher, a parent, or a college student needs to teach philosophy to elementary school children from picture books. Written in a clear and accessible style, the book explains why it is important to allow young children access to philosophy during primary-school education. Wartenberg also gives advice on how to construct a "learner-centered" classroom, in which children discuss philosophical issues with one another as they respond to open-ended questions by saying whether they agree (...) or disagree with what others have said. (shrink)

This article presents a conceptual and methodological framework to study heritage-based tribalism in Big Data ecologies by combining approaches from the humanities, social and computing sciences. We use such a framework to examine how ideas of human origin and ancestry are deployed on Twitter for purposes of antagonistic ‘othering’. Our goal is to equip researchers with theory and analytical tools for investigating divisive online uses of the past in today’s networked societies. In particular, we apply notions of heritage, othering and (...) neo-tribalism, and both data-intensive and qualitative methods to the case of people’s engagements with the news of Cheddar Man’s DNA on Twitter. We show that heritage-based tribalism in Big Data ecologies is uniquely shaped as an assemblage by the coalescing of different forms of antagonistic othering. Those that co-occur most frequently are the ones that draw on ‘Views on Race’, ‘Trust in Experts’ and ‘Political Leaning’. The framings of the news that were most influential in triggering heritage-based tribalism were introduced by both right- and left-leaning newspaper outlets and by activist websites. We conclude that heritage-themed communications that rely on provocative narratives on social media tend to be labelled as political and not to be conducive to positive change in people’s attitudes towards issues such as racism. (shrink)

This provocative text considers whether evolutionary explanations can be used to clarify some of life’s biggest questions. Examines topics of race, sex, gender, the nature of language, religion, ethics, knowledge, consciousness and ultimately, the meaning of life Each chapter presents a main topic, together with discussion of related ideas and arguments from various perspectives Addresses questions such as: Did evolution make men and women fundamentally different? Is the concept of race merely a social construction? Is morality, including universal human rights, (...) a mass delusion? Can religion and evolution really be harmonized? Does evolution render life meaningless? Written in a clear and informative style, with helpful references for further reading and research. (shrink)

This provocative text considers whether evolutionary explanations can be used to clarify some of life’s biggest questions. Examines topics of race, sex, gender, the nature of language, religion, ethics, knowledge, consciousness and ultimately, the meaning of life Each chapter presents a main topic, together with discussion of related ideas and arguments from various perspectives Addresses questions such as: Did evolution make men and women fundamentally different? Is the concept of race merely a social construction? Is morality, including universal human rights, (...) a mass delusion? Can religion and evolution really be harmonized? Does evolution render life meaningless? Written in a clear and informative style, with helpful references for further reading and research. (shrink)

Recently, it has been argued that the use of Big Data transforms the sciences, making data-driven research possible and studying causality redundant. In this paper, I focus on the claim on causal knowledge by examining the Big Data project EXPOsOMICS, whose research is funded by the European Commission and considered capable of improving our understanding of the relation between exposure and disease. While EXPOsOMICS may seem the perfect exemplification of the data-driven view, I show how causal knowledge is necessary for (...) the project, both as a source for handling complexity and as an output for meeting the project’s goals. Consequently, I argue that data-driven claims about causality are fundamentally flawed and causal knowledge should be considered a necessary aspect of Big Data science. In addition, I present the consequences of this result on other data-driven claims, concerning the role of theoretical considerations. I argue that the importance of causal knowledge and other kinds of theoretical engagement in EXPOsOMICS undermine theory-free accounts and suggest alternative ways of framing science based on Big Data. (shrink)

In Daniel Manus Pinkwater's quirkily illustrated book, The Big Orange Splot, a strange accident leads a man to change his life. The book presents an important claim that the existentialists and other philosophers have embraced: That the life of conformity is one that people ought to avoid, despite its attractiveness. Instead of living a life just like everyone else and fulfilling expectations that others have for us, our lives should resemble the transformed facades of all the homes on Mr. (...) Plumbean's street: reflections of our own, individual dreams. (shrink)

In this investigation of Christian thinkers, selected philosophers, and other religious leaders, key issues regarding Christianity over the centuries are discussed in detail. Considering the arguments for and against each position, the study's perspective focuses on the key questions of life and existence, showing the different ways Christian thinkers have answered them. Providing an excellent way into understanding these issues and having readers formulate opinions for themselves, the collection of questions include: How can we believe in God when there (...) is so much suffering? Does science mean the end of religion? Does life after death really exist? Have we any good reason to believe in God? What is the ultimate goal of life? and What does it mean to lead a good life? (shrink)

The aim of this work is to identify and analyze a set of challenges that are likely to be encountered when one embarks on fieldwork in linguistic communities that feature small, young, and/or non-standard languages with a goal to elicit big sets of rich data. For each challenge, we (i) explain its nature and implications, (ii) offer one or more examples of how it is manifested in actual linguistic communities, and (iii) where possible, offer recommendations for addressing it effectively. Our (...) list of challenges involves static characteristics (e.g., absence of orthographic conventions and how it affects data collection), dynamic processes (e.g., speed of language change in small languages and how it affects longitudinal collection of big amounts of data), and interactive relations between non-dynamic features that are nevertheless subject to potentially rapid change (e.g., absence of standardized assessment tools or estimates for psycholinguistic variables). The identified challenges represent the domains of data collection and handling, participant recruitment, and experimental design. Among other issues, we discuss population limits and degree of power, inter- and intraspeaker variation, absence of metalanguage and its implications for the process of eliciting acceptability judgments, and challenges that arise from absence of local funding, conflicting regulations in relation to privacy issues, and exporting large samples of data across countries. Finally, the ten experimental challenges presented cover a broad typological spectrum, encompassing both spoken and sign, extant and nearly extinct languages. (shrink)

Shills are people who endorse products and companies for pay, while pretending that their endorsements are ingenuous. Here we argue that there is something objectionable about shilling that is not reducible to its bad consequences, the lack of epistemic conscientiousness it often relies upon, or to the shill’s insincerity. Indeed, we take it as a premise of our inquiry that shilling can sometimes be sincere, and that its wrongfulness is not mitigated by the shill’s sincerity, in cases where the shill (...) is sincere. Our proposal is that the shill’s defining characteristic is their knowingly engaging in a kind of speech that obscures a certain aspect of its social status – most commonly, by pretending to speak on their own personal behalf, while in fact speaking as an employee – and that this sort of behaviour is objectionable irrespective of any other features of the shill’s conduct. This sort of obfuscation undermines a socially beneficial communicative custom, in which we conscientiously mark the distinction between personal speech and speech-for-hire. (shrink)

Big Data’s calculative ontology relies on and reproduces a form of hyperindividualism in which the ontological unit of analysis is the discrete data point, the meaning and identity of which inheres in itself, preceding, separate, and independent from its context or relation to any other data point. The practice of Big Data governed by an ontology of hyperindividualism is also constitutive of that ontology, naturalizing and diffusing it through practices of governance and, from there, throughout myriad dimensions of everyday (...) life. In this paper, I explicate Big Data’s ontology of hyperindividualism by contrasting it to a coconstitutive ontology that prioritizes relationality, context, and interdependence. I then situate the ontology of hyperindividualism in its genealogical context, drawing from Patrick Joyce’s history of liberalism and John Dewey’s pragmatist account of individualism, liberalism, and social action. True to its genealogical provenance, Big Data’s ontological politics of hyperindividualism reduces governance to the management of atomistic behavior, undermines the contribution of urban complexity as a resource for governance, erodes the potential for urban democracy, and eviscerates the possibility of collective resistance. (shrink)

Recent works have suggested an analytical complementarity in mixing big and thick data sources. These works have, however, remained as programmatic suggestions, leaving us with limited methodological inputs on how to archive such complementary integration. This article responds to this limitation by proposing a method for ‘blending’ big and thick analytical insights. The paper first develops a methodological framework based on the cognitivist linguistics terminology of ‘blending’. Two cases are then explored in which blended spaces are crafted from engaging big (...) and thick analytical insights with each other. Through these examples, we learn how blending processes should be conducted as a rapid, iterative and collaborative effort with respect for individual expertise. Further, we demonstrate how the unique, but often overlooked, granularity of big data plays a key role in affording the blending with thick data. We conclude by suggesting four commonly appearing blending strategies that can be applied when relying upon big and thick data sources. (shrink)

Big Ideas for Little Kids includes everything a teacher, a parent, or a college student needs to teach philosophy to elementary school children from picture books. Written in a clear and accessible style, the book explains why it is important to allow young children access to philosophy during primary-school education. Wartenberg also gives advice on how to construct a "learner-centered" classroom, in which children discuss philosophical issues with one another as they respond to open-ended questions by saying whether they agree (...) or disagree with what others have said. (shrink)

This bold and lively essay is one of those rarest of intellectual achievements, a big small book. In its short length are condensed enormous erudition and impressive analytical scope. With verve and self-assurance, it addresses a broad, central question: How can we improve our understanding of the large-scale processes and structures that transformed the world of the nineteenth century and are transforming our world today? Tilly contends that twentieth-century social theories have been encumbered by a nineteenth century heritage of “pernicious (...) postulates.” He subjects each misleading belief to rigorous criticism, challenging many standard social science paradigms and methodologies. As an alternative to those timeless, placeless models of social change and organization, Tilly argues convincingly for a program of concrete, historically grounded analysis and systematic comparison. To illustrate the strategies available for such research, Tilly assesses the works of several major practitioners of comparative historical analysis, making skillful use of this selective review to offer his own speculative, often unconventional accounts of our recent past. Historically oriented social scientists will welcome this provocative essay and its wide-ranging agenda for comparative historical research. Other social scientists, their graduate and undergraduate students, and even the interested general reader will find this new work by a major scholar stimulating and eminently readable. This is the second of five volumes commissioned by the Russell Sage Foundation to mark its seventy-fifth anniversary. "In this short, brilliant book Tilly suggests a way to think about theories of historical social change....This book should find attentive readers both in undergraduate courses and in graduate seminars. It should also find appreciative readers, for Tilly is a writer as well as a scholar." —Choice. (shrink)

The capacity to collect and analyse data is growing exponentially. Referred to as ‘Big Data’, this scientific, social and technological trend has helped create destabilising amounts of information, which can challenge accepted social and ethical norms. Big Data remains a fuzzy idea, emerging across social, scientific, and business contexts sometimes seemingly related only by the gigantic size of the datasets being considered. As is often the case with the cutting edge of scientific and technological progress, understanding of the ethical implications (...) of Big Data lags behind. In order to bridge such a gap, this article systematically and comprehensively analyses academic literature concerning the ethical implications of Big Data, providing a watershed for future ethical investigations and regulations. Particular attention is paid to biomedical Big Data due to the inherent sensitivity of medical information. By means of a meta-analysis of the literature, a thematic narrative is provided to guide ethicists, data scientists, regulators and other stakeholders through what is already known or hypothesised about the ethical risks of this emerging and innovative phenomenon. Five key areas of concern are identified: informed consent, privacy, ownership, epistemology and objectivity, and ‘Big Data Divides’ created between those who have or lack the necessary resources to analyse increasingly large datasets. Critical gaps in the treatment of these themes are identified with suggestions for future research. Six additional areas of concern are then suggested which, although related have not yet attracted extensive debate in the existing literature. It is argued that they will require much closer scrutiny in the immediate future: the dangers of ignoring group-level ethical harms; the importance of epistemology in assessing the ethics of Big Data; the changing nature of fiduciary relationships that become increasingly data saturated; the need to distinguish between ‘academic’ and ‘commercial’ Big Data practices in terms of potential harm to data subjects; future problems with ownership of intellectual property generated from analysis of aggregated datasets; and the difficulty of providing meaningful access rights to individual data subjects that lack necessary resources. Considered together, these eleven themes provide a thorough critical framework to guide ethical assessment and governance of emerging Big Data practices. (shrink)

Big data increasingly enables prediction of the behaviour and characteristics of individuals. This is ethically concerning on privacy grounds. However, this article discusses other reasons for concern. These predictions usually rely on generalisations about what certain sorts of people tend to do. Generalisations of this sort are often under scrutiny in legal cases, where, for example, lawyers argue that people with prior convictions are more likely to be guilty of the crime they are currently on trial for. This article (...) applies criteria for distinguishing acceptable from unacceptable generalisations in legal cases to a number of big data examples. It argues that these criteria are helpful, and highlights three issues that should be taken into account when deciding whether predictions about individuals are ethical. (shrink)

Recently, biologists have argued that data - driven biology fosters a new scientific methodology; namely, one that is irreducible to traditional methodologies of molecular biology defined as the discovery strategies elucidated by mechanistic philosophy. Here I show how data - driven studies can be included into the traditional mechanistic approach in two respects. On the one hand, some studies provide eliminative inferential procedures to prioritize and develop mechanistic hypotheses. On the other, different studies play an exploratory role in providing (...) useful generalizations to complement the procedure of prioritization. Overall this paper aims to shed light on the structure of contemporary research in molecular biology. (shrink)

Reclaiming ‘Big Nurse’: a feminist critique of Ken Kesey's portrayal of Nurse Ratched in One Flew Over the Cuckoo's Nest Nurse Ratched or ‘Big Nurse’ in Ken Kesey's counter‐culture novel One Flew Over the Cuckoo's Nest is one of popular culture's most arresting and memorable images of the nurse. She is, however, deemed to be remarkable primarily for her malice and authoritarianism. This paper argues that such a purely realist reading fails to fully appreciate the significance of the character of (...) Nurse Ratched. A feminist critique of the novel contends that die importance of ‘Big Nurse’ is less related to how realistic/unrealistic or good/bad she is as a nurse. Nurse Ratched is important because she exemplifies all diat traditional masculinity abhors in women, and particularly in strong women in positions of power and influence. This paper explores the stereotype of ‘Big Nurse’ and argues that Kesey's vision of her ultimate ‘conquest’ is not a progressive allegory of ‘individual freedom’, but a reactionary misogyny which would deny women any function other than that of sexual trophy. (shrink)

This article argues that the fact that an action will compound a prior injustice counts as a reason against doing the action. I call this reason The Anti-Compounding Injustice principle or aci. Compounding injustice and the aci principle are likely to be relevant when analyzing the moral issues raised by “big data” and its combination with the computational power of machine learning and artificial intelligence. Past injustice can infect the data used in algorithmic decisions in two distinct ways. Sometimes prior (...) injustice undermines the accuracy of the data itself. In these contexts, improving accuracy will also help to avoid compounding injustice. Other times, past injustice produces real-world differences among people with regard to skills, health, wealth, and other traits that employers, lenders, and others seek to measure. When decisions are based on accurate data that itself results from prior injustice, these decisions can also compound injustice. This second dynamic has received less attention than the first but is especially important because improving the accuracy of data will not mitigate this unfairness. (shrink)

The big bang idea is not only a dominant idea in cosmology but also a very successfully idea out of cosmology. Although sometimes just in metaphorical sense, the big bang idea is present, since some decades, in a variety of domains such as natural sciences, humanities, social sciences, arts, and it also has a great acceptance by the general public. Furthermore, the term Big Bang has become increasingly popular and currently it is often used with very different purposes, including commercial (...) purposes, in contexts that have nothing to do with science, such as music, television, cinema, circus, house decoration, food, and other unexpected domains. Proposed by Gerald Holton, thematic analysis is a useful tool for studying cases like this, because it identifies and describes elements that cross and connect all areas of knowledge and culture in general and thus can help to understand the reception, appropriation and use of certain ideas in different but contemporary disciplinary and cultural contexts, which may be involved in intellectual fashions and in styles of thought of one particular time. (shrink)

Big dreams are rare but highly memorable dream experiences that make a strong and lasting impact on the dreamer's waking awareness. Moving far beyond "I forgot to study and the finals are today" and other common scenarios, such dreams can include vivid imagery, intense emotions, fantastic characters, and an uncanny sense of being connected to forces beyond one's ordinary dreaming mind. In Big Dreams, Kelly Bulkeley provides the first full-scale cognitive scientific analysis of such dreams, putting forth an original (...) theory about their formation, function, and meaning.Big dreams have played significant roles in religious and cultural history, but because of their infrequent occurrence and fantastical features, they have rarely been studied in light of modern science. We know a great deal about the religious manifestations of big dreams throughout history and around the world, but until now that cross-cultural knowledge has never been integrated with scientific research on their psychological roots in the brain-mind system. In Big Dreams, Bulkeley puts a classic psychological thesis to the scientific test by clarifying and improving it with better data, sharper analysis, and a broader evolutionary framework. He brings evidence from multiple sources, shows patterns of similarity and difference, questions prior assumptions, and provides predictive models that can be applied to new sets of data. The notion of a connection between dreaming and religion has always been intuitively compelling; Big Dreams transforms it into a solid premise of religious studies and brain-mind science. Combining evidence from religious studies, psychology, anthropology, evolutionary biology, and neuroscience, Big Dreams makes a compelling argument that big dreams are a primal wellspring of religious experience. They represent an innate, neurologically hard-wired capacity of our species that regularly provokes greater self-awareness, creativity, and insight into the existential challenges and spiritual potentials of human life. (shrink)

On the orthodox interpretation of bounce cosmologies, a preceding universe was compressed to a small size before “bouncing” to form the present expanding universe. William Lane Craig and James Sinclair have argued that the orthodox interpretation is incorrect if the entropy reaches a minimum at the bounce. In their view, the interface between universes represents the birth of two expanding universes, i.e., a “double bang” instead of a “big bounce”. Here, I reply to Craig and Sinclair in defense of the (...) orthodox interpretation. Contrary to their interpretation, features of one universe explain features of the other universe and so must precede the other universe in time. Moreover, contrary to a crucial part of Craig and Sinclair’s interpretation, there are bounce cosmologies in which the thermodynamic arrow of time is continuous through the bounce even though the entropy is “reset” at the bounce. (shrink)

In this paper, we discuss how access to health-related data by private insurers, other than affecting the interests of prospective policy-holders, can also influence their propensity to make personal data available for research purposes. We take the case of national precision medicine initiatives as an illustrative example of this possible tendency. Precision medicine pools together unprecedented amounts of genetic as well as phenotypic data. The possibility that private insurers could claim access to such rapidly accumulating biomedical Big Data or (...) to health-related information derived from it would discourage people from enrolling in precision medicine studies. Should that be the case, the economic value of personal data for the insurance industry would end up affecting the public value of data as a scientific resource. In what follows we articulate three principles – trustworthiness, openness and evidence – to address this problem and tame its potentially harmful effects on the development of precision medicine and, more generally, on the advancement of medical science. (shrink)

The Snowden revelations and the emergence of ‘Big Data’ have rekindled questions about how security practices are deployed in a digital age and with what political effects. While critical scholars have drawn attention to the social, political and legal challenges to these practices, the debates in computer and information science have received less analytical attention. This paper proposes to take seriously the critical knowledge developed in information and computer science and reinterpret their debates to develop a critical intervention into the (...) public controversies concerning data-driven security and digital surveillance. The paper offers a two-pronged contribution: on the one hand, we challenge the credibility of security professionals’ discourses in light of the knowledge that they supposedly mobilize; on the other, we argue for a series of conceptual moves around data, human–computer relations, and algorithms to address some of the limitations of existing engagements with the Big Data-security assemblage. (shrink)

The big bang cosmological theory is relevant to Christian theism and other theist perspectives since it represents the universe as beginning to exist ex nihilo about 15 billion years ago. This paper addresses the question of whether it is reasonable to believe that God created the big bang. Some theists answer in the affirmative, but it is argued in this paper that this belief is not reasonable. In the course of this argument, there is a discussion of the metaphysical (...) necessity of natural laws, of whether the law of causality is true a priori, and of other pertinent issues. (shrink)

This article examines the drivers and barriers for corporate social responsibility (CSR) in the Norwegian graduate uniform industry, which is a market devoid of large corporations, consisting entirely of two small businesses. It finds that these small businesses' CSR activities are not particularly well explained by the existing literature on CSR in small‐ and medium‐sized enterprises, which assumes the presence of large competitors. This raises the question of whether small businesses that do not compete against large corporations may actually behave (...) more like ‘little big firms’ when it comes to CSR. The article finds that the two businesses studied are mostly driven by external pressure to improve their social responsibility. Such pressure stems partly from news reports on their activities and partly from increasing competition leading to a situation where the small businesses operating in the market scrutinise each others' activities. (shrink)

Educational transitions play a pivotal role in shaping educational careers, and ultimately social inequality. Whereas parental socioeconomic status (SES) and cognitive ability have long been identified as key determinants of successful educational transitions, much less is known about the role of socio-emotional skills. To address this gap, the present study investigated whether Big Five personality traits predict success in the transition from secondary school to vocational education and training (VET) above and beyond SES, cognitive ability, and other covariates. Using (...) data from Starting Cohort 4 of the German National Educational Panel Study (NEPS; N = 4,137), we defined seven indicators of successful transition: obtaining a VET position, number of acceptances for VET positions, starting a VET position, (the absence of) dropout intentions and actual dropout, final VET grade, and satisfaction with VET. The results revealed that some Big Five traits were incrementally associated with several indicators of transition success. Conscientiousness emerged as the single most relevant trait, predicting all the transition success indicators but one (dropout intentions). The other Big Five traits had much weaker and less consistent links with transition success. Extraversion predicted the final VET grade and obtaining a VET position; Agreeableness was linked to a higher risk of dropout. Openness and Emotional Stability had no incremental effects on transition success. There was also some evidence for both compensatory and synergistic interactive effects, with Openness moderating mainly the effects of parental SES (on dropout intentions, actual dropout, and number of acceptances), and Agreeableness moderating the effects of cognitive ability (on obtaining a VET position, number of acceptances, and satisfaction with VET). Although individual effect sizes were small, the Big Five’s joint contribution to transition success was non-negligible, and often larger than that of sociodemographic characteristics and cognitive ability. Our results suggest a hitherto underappreciated contribution of personality to successful transitions to VET. (shrink)

Denmark is a society that has already moved towards Big Data and a Learning Health Care System. Data from routine healthcare has been registered centrally for years, there is a nationwide tissue bank, and there are numerous other available registries about education, employment, housing, pollution, etcetera. This has allowed Danish researchers to study the link between exposures, genetics and diseases in a large population. This use of public registries for scientific research has been relatively uncontroversial and has been supported (...) by facilitative regulation that allows data to be used without the consent of data subjects. However, in the future much of the data will not be held by public authorities but by private companies. What are the implications of this shift for the governance of the research use of the data? This paper will argue that increased involvement of Research Ethics Committees and better training of researchers are necessary; and that some form of consent will have to be re-introduced. Four different consent models will be discussed: Opt-Out, Broad/Blanket consent, Dynamic consent, and Meta consent. It will be argued that a governance model including a possibility for citizens to make meta-choices strikes the best balance between individual and public interests. (shrink)

_ Source: _Volume 9, Issue 2, pp 306 - 326 In recent years David Christian and others have promoted “Big History” as an innovative approach to the study of the past. The present paper juxtaposes to Big History an old Big History, namely, the tradition of “universal history” that flourished in Europe from the mid-sixteenth century until well into the nineteenth century. The claim to universality of works in that tradition depended on the assumed truth of Christianity, a fact that (...) was fully acknowledged by the tradition’s adherents. The claim of the new Big History to universality likewise depends on prior assumptions. Simply stated, in its various manifestations the “new” Big History is rooted either in a continuing theology, or in a form of materialism that is assumed to be determinative of human history, or in a somewhat contradictory amalgam of the two. The present paper suggests that “largest-scale history” as exemplified in the old and new Big Histories is less a contribution to historical knowledge than it is a narrativization of one or another worldview. Distinguishing between largest-scale history and history that is “merely” large-scale, the paper also suggests that a better approach to meeting the desire for large scale in historical writing is through more modest endeavors, such as large-scale comparative history, network and exchange history, thematic history, and history of modernization. (shrink)

This article examines the drivers and barriers for corporate social responsibility (CSR) in the Norwegian graduate uniform industry, which is a market devoid of large corporations, consisting entirely of two small businesses. It finds that these small businesses' CSR activities are not particularly well explained by the existing literature on CSR in small- and medium-sized enterprises, which assumes the presence of large competitors. This raises the question of whether small businesses that do not compete against large corporations may actually behave (...) more like ‘little big firms’ when it comes to CSR. The article finds that the two businesses studied are mostly driven by external pressure to improve their social responsibility. Such pressure stems partly from news reports on their activities and partly from increasing competition leading to a situation where the small businesses operating in the market scrutinise each others' activities. (shrink)

We expect Big Data methods to contribute to research with results that are not inferior to those attained in other ways but possibly better, or hard or impossible to generate in other ways. Those who apply these methods may also aspire to augment the arsenal of research methods, offer surrogates for existing research designs, and re-orient research. Moreover, we can critically examine the institutional, societal and political effects of the Big Data methods and the conditions for the solid (...) institutionalization of these methods in social and political research. To reach its primary objective, this article elaborates conclusions on how Big Data methods, not only by means of their ‘social life’ but also by their ‘political life’, may influence the institutionalization of social and political research. To reach its secondary objective, the article re-examines a study of budgetary legislation in 13 countries carried out by means of Big Data methods to draw conclusions concerning the augmentation of the arsenal of research methods, the surrogation of existing research designs, and the re-orientation of research. (shrink)

Scholars are becoming increasingly interested in whether and how government use of Big Data will affect public policy outcomes. Despite such growing scholarly interests, however, little evidence exists on the role Big Data can play in improving government service. We undertake one of the first quantitative studies revealing the potential utility and limitations of “Big Data-based policymaking” by exploring its recent use by the Seoul Metropolitan Government. In 2013, the government introduced the “Owl Bus”—a late-night bus system—the routes of which (...) were selected based on government analyses of Big Data relating to citizens’ late-night taxi and mobile phone use. The findings suggest that the average number of passengers utilizing the Owl Bus routes was significantly greater than that on other daytime bus routes with comparable characteristics. That said, we also present the potential limitations of evidence-based policymaking in general, especially when politics and equity considerations are factored in. (shrink)

Some important and decisive observations allowed a widespread and almost unquestionable acceptance of the big bang cosmology, but we can admit and search other factors that have contributed and continue to contribute to the enormous acceptance and great popularity of this cosmological conception, not only inside but also outside of cosmology and even in numerous no scientific contexts. To find some of those factors, a case study was undertaken based on thematic analysis, an analytical tool which is based on (...) the idea that the scientific activity, in addition to a theoretical and an experimental dimensions, has a third dimension with psychological and cultural elements called themata that strongly influence the construction of scientific theories and also their acceptance or rejection. This case study focused on the most important founding texts of big bang cosmology, namely articles and books of Alexandre Friedmann, Georges Lemaître, and George Gamow, covering three decades of important developments, and the founding texts of its great rival, the steady-state cosmology. This article presents a summary of the main results of this case study, which allowed to identify several themata with a very important role in the big bang cosmology: differentiation and unification ; unity, creation, change, evolution, constancy, simplicity, life cycle, circularity, and disorder. All these themata form a methodological and conceptual matrix—with a triple dimension: historical, transversal/cultural, and psychological—that can help explain the acceptance and popularity of the big bang cosmology within and beyond its disciplinary boundaries. (shrink)

This book introduces students to ethics in historiography through an exploration of how historians in different times and places have explained how history ought to be written and how those views relate to different understandings of ethics. No two histories are the same. The book argues that this is a good thing because the differences between histories are largely a matter of ethics. Looking to histories made across the world and from ancient times until today, readers are introduced to a (...) wide variety of approaches to the ethics of history, including well-known ethical approaches, such as the virtue ethics of universal historians, and utilitarian approaches to collective biography writing while also discovering new and emerging ideas in the ethics of history. Through these approaches, readers are encouraged to challenge their ideas about whether humans are separate from other living and non-living things and whether machines and animals can write histories. The book looks to the fundamental questions posed about the nature of history making by Indigenous history makers and asks whether the ethics at play in the global variety of histories might be better appreciated in professional codes of conduct and approaches to research ethics management. Opening up the topic of ethics to show how historians might have viewed ethics differently in the past, the book requires no background in ethics or history theory and is open to all of those with an interest in how we think about good histories. (shrink)

Big data-analysis is linked to the expectation to provide a general image of socially relevant topics and processes. Similar to this, the idea of the public sphere involves being representative of all citizens and of important topics and problems. This contribution, on one side, aims to explain how a normative concept of the public sphere could be infiltrated by big data. On the other, it will discuss how participative processes and common wealth can profit from a thorough use of (...) big data analysis. As important parts of the argument, two concepts will be introduced: the numerical public and total politicisation. (shrink)

Refining big data is a new multipurpose way to find, collect, and analyze information obtained from the web and off-line information sources about any research subject. It gives the opportunity to investigate (with an assumed level of statistical significance) the past and current status of information on a subject, and it can even predict the future. The refining of big data makes it possible to quantitatively investigate a wide spectrum of raw information on significant human issues—social, scientific, political, business, and (...) others. Refining creates a space for new, rich sources of information and opens innovative ways for research. The article describes a procedure for refining big data and gives examples of its use. (shrink)

BIG DATA AND ARTIFICIAL INTELLIGENCE: A LOOK INTO THE FUTURE To say or write something innovative on the ongoing revolution in the fields of Big Data and Artificial Intelligence is very difficult. The advent of these two new technologies is in fact among the most relevant events in human history since in a little more than a decade it will likely lead to the creation of the First Artificial Intelligence of the Fourth level: i.e capable to think and create autonomously. (...) This is a strong statement but like it or not is also irrefutable and fully compatible with the current technological trends and with what is happening right now, in front of our eyes. For the time being, however, we are dealing just with a weak Artificial Intelligence deeply rooted in Big Data and Big Data Analytics. Even so, however, the epochal changes which are currently taking place in the social, economic, and political structure of our world, have no historical equivalent. In this essay, after a short introduction (for the nonprofessional) of Machine Learning and of the basics of the weak Artificial Intelligence, I will try to explain why Artificial Intelligence and Big Data inextricably connect to each other. I will also try to summarise some among the many positive and negative aspects of the problem. (shrink)

Data-intensive techniques, now widely referred to as 'big data', allow for novel ways to address complexity in science. I assess their impact on the scientific method. First, big-data science is distinguished from other scientific uses of information technologies, in particular from computer simulations. Then, I sketch the complex and contextual nature of the laws established by data-intensive methods and relate them to a specific concept of causality, thereby dispelling the popular myth that big data is only concerned with correlations. (...) The modeling in data-intensive science is characterized as 'horizontal'—lacking the hierarchical, nested structure familiar from more conventional approaches. The significance of the transition from hierarchical to horizontal modeling is underlined by a concurrent paradigm shift in statistics from parametric to non-parametric methods. (shrink)

Theoretical work on aesthetic value has taken off in the past 5 or 10 years. Since work on artistic value dates at least as far back as the first debates about the interaction between artistic and other values, aesthetic value presumably differs from artistic value. Unlike artistic value, aesthetic value is found in art, but also in nature, design, and intellectual material, even philosophy (Lopes 2022a). Indeed, continued use of “aesthetic” as a synonym for “artistic” has held up work (...) on aesthetic value, as has the hegemony of aesthetic hedonism (Van der Berg 2020). Now a raft of new ideas are on offer, and each has something going for it. We should not be too quick to winnow: we can build a tent that is big enough to house them all. (shrink)

This moral philosophy text with readings embraces Socrates' observation that ethics is "no small matter, but how we ought to live." How ought we to live? This hard question captures the full range of moral inquiry from traditional moral theory to contemporary moral issues, such as abortion, capital punishment, and war. But there is much more to moral philosophy: How should we be as people? When should we forgive? Are we capable of morality? What about non-western ethics? And most distressing (...) of all, why be moral in the first place? These and other challenging questions show the profundity and inescapable importance of moral philosophy for a life worth living. Life's Hardest Questions combines lively and informative introductory discussions with classic and contemporary writings in moral philosophy. (shrink)

Traditionally, logicians construed fallacies as mistakes in inference, as things that looked like good (i.e., deductively valid) arguments but were not. Two fallacies stood out like a sore thumb on this view of fallacies: the fallacy of many questions (because it does not even look like a good argument, or any kind of argument) and the fallacy of petitio principii (because it looks like and is a good argument). The latter is the concern of this paper. One possible response is (...) to say that the tradition is right about the concept of fallacy but wrong about its extension: petitio principii is not a fallacy. If the only proper ways to criticize an argument are to say that it is invalid or that it is unsound, and petitio principii is not criticisable on either of these counts, then calling it a fallacy is tantamount to saying we should prefer invalid or unsound arguments Robinson (Analysis, 31(4): 114 ,1971). I will present a third way to logically criticize arguments and show that fallacious instances of petitio principii are so criticisable while other instances of petitio principii are non-fallacious; hence, this fallacy is not a reductio of the Standard Treatment. It is not my intention in this paper to come out on the side of any of the competing theories—the Standard Treatment, the dialectical theories, and the epistemic theories—as general theories of fallacy. I show only that petitio principii can be handled by something closely resembling the Standard Treatment in so far as that, on entirely logistical principles, there can be made a distinction such that circular arguments form at best a degenerate kind of argument. Circular arguments look like good arguments but are not, not because they are deductively invalid (which they are not) but because they do not deserve to be called arguments at all. (shrink)

The accelerating adoption of electronic health record systems will have profound impacts on clinical care. It will also have far-reaching implications for public health research and surveillance, which in turn could lead to changes in public policy, statutes, and regulations. The public health benefits of EHR use can be significant. However, researchers and analysts who rely on EHR data must proceed with caution and understand the potential limitations of EHRs.Much has been written about the risk of EHR privacy breaches. This (...) paper focuses on a different set of concerns, those relating to data quality. Unlike clinical trial data, EHR data is not recorded primarily to meet the needs of researchers. Because of clinicians’ workloads, poor user-interface design, and other factors, EHR data is surprisingly likely to be erroneous, miscoded, fragmented, and incomplete. Although EHRs eliminate the problem of cryptic handwriting, other kinds of errors are more common with EHRs than with paper records. (shrink)

Current education paradigms were informed by the classical Newtonian worldview of brain functioning in which the mind is simply the physical activity of the brain, and our thoughts cannot have any effect upon the physical world. However, researchers in the field of quantum mechanics found that the outcomes of certain subatomic experiments are determined by the consciousness of the observer, leading philosophers to propose that the observed and the observer are linked. Quantum mechanics also demonstrates that distant minds may behave (...) in simultaneous correlational ways, in the absence of being linked through any known energetic signal. Further, researchers in this field propose that an external memory space is operating in the human brain, suggesting that this proposed external memory space may be a quantum field surrounding the brain and interacting with other fields, generating a global mental field of information flow. This article proposes that current education paradigms, which have been informed by a classical Newtonian physics worldview may need to be expanded to include a quantum mechanics worldview. The author seeks to understand if, and how, quantum mechanics could inform education practices, theories and paradigms and invites discussion, debate and speculation on the implications this would have for education systems. (shrink)