Examining in detail the work of consecration carried out by elite education systems, Bourdieu analyzes the distinctive forms of power—political, intellectual, bureaucratic, and economic—by means of which contemporary societies are governed.

Like the latter, it unites into one and the same function the possibility of giving things a sign, of representing one thing by another, and the possibility of causing a sign to shift in relation to what it designates. The four functions that define the ...

I would like to suggest another way to go further toward a new economy of power relations, a way which is more empirical, more directly related to our present situation, and which implies more relations between theory and practice. It consists of taking the forms of resistance against different forms of power as a starting point. To use another metaphor, t consists of using this resistance as a chemical catalyst so as to bring to light power relations, locate their position, (...) and find out their point of application and the methods used. Rather than analyzing power from the point of view of its internal rationality, it consists of analyzing power relations through the antagonism of strategies.[…]Let us come back to the definition of the exercise of power as a way in which certain actions may structure the field of other possible actions. What, therefore, would be proper to a relationship of power is that it be a mode of action upon actions. That is to say, power relations are rooted deep in the social nexus, not reconstituted "above" society as a supplementary structure whose radical effacement one could perhaps dream of. In any case, to live in a society is to live in such a way that action upon other actions is possible-- and in fact ongoing. A society without power relations can only be an abstraction. Which, be it said in passing, makes all the more politically necessary the analysis of power relations in a given society, their historical formation, the source of their strength or fragility, the conditions which are necessary to transform some or to abolish others. For to say that there cannot be a society without power relations is not to say either that those which are established are necessary or, in any case, that power constitutes a fatality at the heart of societies, such that it cannot be undermined. Instead, I would say that the analysis, elaboration, and bringing into question of power relations and the "agonism" between power relations and the instransitivity of freedom is a permanent political task inherent in all social existence.[…]In effect, between a relationship of power and a strategy of struggle there is a reciprocal appeal, a perpetual linking and a perpetual reversal. At every moment the relationship of power may become a confrontation between two adversaries. Equally, the relationship between adversaries in society may, at every moment, give place to the putting into operation of mechanisms of power. The consequence of this instability is the ability to decipher the same events and the same transformations either from inside the history of struggle or from the standpoint of the power relationships. The interpretations which result will not consist of the same elements of meaning or the same links or the same types of intelligibility, although they refer to the same historical fabric, and each of the two analyses must have reference to the other. In fact, it is precisely the disparities between the two readings which make visible those fundamental phenomena of "domination" which are present in a large number of human societies.Michel Foucault has been teaching at the Collège de France since 1970. His works include Madness and Civilization , The Birth of the Clinic , Discipline and Punish , and History of Sexuality , the first volume of a projected five-volume study. (shrink)

The article presents the sociology of knowledge approach to discourse (SKAD). SKAD, which has been in the process of development since the middle of the 1990s, is now a widely used framework among social scientists in discourse research in the German-speaking area. It links arguments from the social constructionist tradition, following Berger and Luckmann, with assumptions based in symbolic interactionism, hermeneutic sociology of knowledge, and the concepts of Michel Foucault. It argues thereby for a consistent theoretical and methodological grounding of (...) a genuine social sciences perspective on discourse interested in the social production, circulation and transformation of knowledge, that is in social relations and politics of knowledge in the so-called ‘knowledge societies’. Distancing itself from Critical Discourse Analysis, Linguistics, Ethnomethodology inspired discourse analysis and the Analysis of Hegemonies, following Laclau and Mouffe, SKAD’s framework has been built up around research questions and concerns located in the social sciences, referring to public discourse and arenas as well as to more specific fields of (scientific, religious, etc.) discursive struggles and controversies around problematizations (Foucault). (shrink)

How are data science systems made to work? It may seem that whether a system works is a function of its technical design, but it is also accomplished through ongoing forms of discretionary work by many actors. Based on six months of ethnographic fieldwork with a corporate data science team, we describe how actors involved in a corporate project negotiated what work the system should do, how it should work, and how to assess whether it works. These negotiations laid the (...) foundation for how, why, and to what extent the system ultimately worked. We describe three main findings. First, how already-existing technologies are essential reference points to determine how and whether systems work. Second, how the situated resolution of development challenges continually reshapes the understanding of how and whether systems work. Third, how business goals, and especially their negotiated balance with data science imperatives, affect a system’s working. We conclude with takeaways for critical data studies, orienting researchers to focus on the organizational and cultural aspects of data science, the third-party platforms underlying data science systems, and ways to engage with practitioners’ imagination of how systems can and should work. (shrink)

Written with verve and intensity (and a good bit of wordplay), this is the long-awaited study of Flaubert and the modern literary field that constitutes the ...

Critical Data Studies explore the unique cultural, ethical, and critical challenges posed by Big Data. Rather than treat Big Data as only scientifically empirical and therefore largely neutral phenomena, CDS advocates the view that Big Data should be seen as always-already constituted within wider data assemblages. Assemblages is a concept that helps capture the multitude of ways that already-composed data structures inflect and interact with society, its organization and functioning, and the resulting impact on individuals’ daily lives. CDS questions the (...) many assumptions about Big Data that permeate contemporary literature on information and society by locating instances where Big Data may be naively taken to denote objective and transparent informational entities. In this introduction to the Big Data & Society CDS special theme, we briefly describe CDS work, its orientations, and principles. (shrink)

Data science is characterized by engaging heterogeneous data to tackle real world questions and problems. But data science has no data of its own and must seek it within real world domains. We call this search for data “prospecting” and argue that the dynamics of prospecting are pervasive in, even characteristic of, data science. Prospecting aims to render the data, knowledge, expertise, and practices of worldly domains available and tractable to data science method and epistemology. Prospecting precedes data synthesis, analysis, (...) or visualization, and is constituted by the upstream work of discovering disordered or inaccessible data resources, thereafter to be ordered and rendered available for computation. Through this work, data science positions itself in the middle of all things—capable of engaging this, that, or any domain—and thus prospecting is a key driver of data science’s ongoing formation as a universal science. (shrink)

The aim of this article is to assess the impact of Big Data technologies for insurance ratemaking, with a special focus on motor products.The first part shows how statistics and insurance mechanisms adopted the same aggregate viewpoint. It made visible regularities that were invisible at the individual level, further supporting the classificatory approach of insurance and the assumption that all members of a class are identical risks. The second part focuses on the reversal of perspective currently occurring in data analysis (...) with predictive analytics, and how this conceptually contradicts the collective basis of insurance. The tremendous volume of data and the personalization promise through accurate individual prediction indeed deeply shakes the homogeneity hypothesis behind pooling. The third part attempts to assess the extent of this shift in motor insurance. Onboard devices that collect continuous driving behavioural data could import this new paradigm into these products. An examination of the current state of research on models with telematics data shows however that the epistemological leap, for now, has not happened. (shrink)

In this article I generalize ecological theory by developing the notion of separate but linked ecologies. I characterize an ecology by its set of actors, its set of locations, and the relation it involves between these. I then develop two central concepts for the linkage of ecologies: hinges and avatars. The first are issues or strategies that "work" in both ecologies at once. The second are attempts to institutionalize in one ecology a copy or colony of an actor in another. (...) The article investigates the first of these concepts using two detailed examples of hinge analysis between the professional and political ecologies. Both concern medical licensing, the first in 19th-century New York and the second in 19th-century England. For the avatar concept, the article analyzes four less detailed cases linking the professional and university ecologies: computer science, criminal justice, clinical psychology, and applied economics. (shrink)

Accounts of big data practices often assume that they target individuals. Personalization, with all the risks of discrimination and bias it entails, has been the critical focus in accounts of consumption, government, social media, and health. This paper argues that personalization through models using large-scale data is part of a more expansive change in probabilization that, in principle, is not reducible to individual or ‘personal’ attributes and actions. It describes the ‘personalization’ of an online grocery shopping recommender system to list (...) a small number of grocery items of personal relevance for each of the millions of online grocery shoppers at a major UK supermarket chain. Drawing on a theory of probability proposed by the philosopher of science Karl Popper and anthropological work on shopping, it suggests that the attempt to generate personalized predictions necessarily incorporates impersonal relations to others and things. Using a mixture of discourse analysis and code-based reconstruction of key elements of the recommender system, it suggests that personalization is one facet of an open-ended weave of propensities associated with people and things in contemporary big data configurations. The paper explores how, in the context of recommender systems, the constitutive incompleteness of shopping lists, their propensity to expand or change, might be more important than their capacity to be personalized. (shrink)

This paper focuses on the conception and use of machine-learning algorithms for marketing. In the last years, specialized service providers as well as in-house data scientists have been increasingly using machine learning to predict consumer behavior for large companies. Predictive marketing thus revives the old dream of one-to-one, perfectly adjusted selling techniques, now at an unprecedented scale. How do predictive marketing devices change the way corporations know and model their customers? Drawing from STS and the sociology of quantification, I propose (...) to study the original ambivalence that characterizes the promise of a mass personalization, i.e. algorithmic processes in which the precise adjustment of prediction to unique individuals involves the computation of massive datasets. By studying algorithms in practice, I show how the active embedding of local preexisting consumer knowledge and punctual de-personalization mechanisms are keys to the epistemic and organizational success of predictive marketing. This paper argues for the study of algorithms in their contexts and suggests new perspectives on algorithmic objectivity. (shrink)

There are growing discontinuities between the research practices of data science and established tools of research ethics regulation. Some of the core commitments of existing research ethics regulations, such as the distinction between research and practice, cannot be cleanly exported from biomedical research to data science research. Such discontinuities have led some data science practitioners and researchers to move toward rejecting ethics regulations outright. These shifts occur at the same time as a proposal for major revisions to the Common Rule—the (...) primary regulation governing human-subjects research in the USA—is under consideration for the first time in decades. We contextualize these revisions in long-running complaints about regulation of social science research and argue data science should be understood as continuous with social sciences in this regard. The proposed regulations are more flexible and scalable to the methods of non-biomedical research, yet problematically largely exclude data science methods from human-subjects regulation, particularly uses of public datasets. The ethical frameworks for Big Data research are highly contested and in flux, and the potential harms of data science research are unpredictable. We examine several contentious cases of research harms in data science, including the 2014 Facebook emotional contagion study and the 2016 use of geographical data techniques to identify the pseudonymous artist Banksy. To address disputes about application of human-subjects research ethics in data science, critical data studies should offer a historically nuanced theory of “data subjectivity” responsive to the epistemic methods, harms and benefits of data science and commerce. (shrink)

This article examines the stratifying effects of economic classifications. We argue that in the neoliberal era market institutions increasingly use actuarial techniques to split and sort individuals into classification situations that shape life-chances. While this is a general and increasingly pervasive process, our main empirical illustration comes from the transformation of the credit market in the United States. This market works as both as a leveling force and as a condenser of new forms of social difference. The U.S. banking and (...) credit system has greatly broadened its scope over the past twenty years to incorporate previously excluded groups. We observe this leveling tendency in the expansion of credit amongst lower-income households, the systematization of overdraft protections, and the unexpected and rapid growth of the fringe banking sector. But while access to credit has democratized, it has also differentiated. Scoring technologies classify and price people according to credit risk. This has allowed multiple new distinctions to be made amongst the creditworthy, as scores get attached to different interest rates and loan structures. Scores have also expanded into markets beyond consumer credit, such as insurance, real estate, employment, and elsewhere. The result is a cumulative pattern of advantage and disadvantage with both objectively measured and subjectively experienced aspects. We argue these private classificatory tools are increasingly central to the generation of "market-situations", and thus an important and overlooked force that structures individual life-chances. In short, classification situations may have become the engine of modern class situations. © 2013. (shrink)