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Social Theory at Work

2024· preprint· en· W192722067 on OpenAlexaboutno aff
Marek Korczynski

Bibliographic record

VenueBristol University Press eBooks · 2024
Typepreprint
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsnot available
Fundersnot available
KeywordsRelevance (law)SociologyIndustrial sociologyWork (physics)Economic sociologySocial theorySocial sciencePositive economicsEpistemologyPolitical scienceEconomicsLaw

Abstract

fetched live from OpenAlex

Work is fundamental to human society and modern organizations, and consequently has been central to the thinking of major social theorists and social science disciplines. This book offers a 'one-stop-shop' guide to classical and contemporary perspectvies of work written by leading international experts. Schools covered include: Weberian, Marxian, Durkheimian, feminist, neo-classical economics, institutional economics, ethics, Foucauldian, postmodernist, organizational sociology and economic sociology. Each chapter traces the origins of the theoretical school, reviews seminal contributions, and considers major criticisms of the approach. In addition, the book features a section on key aspects of work - professions, technology, identity and globalisation - to which these theories have been applied. The book makes a major contribution in a number of ways: DT Provides systematic coverage of major social and economic theories and the way they aid our understanding of work; DT Includes a section of chapters that consider, in an applied way, how social theories have helped the analysis of key substantive areas of work; DT Includes contributions from leading academics from both Europe and the USA; DT Each chapter can be read as free-standing summary of a particular school of theoretical approach; DT In addition, the introductory and concluding chapters examine themes cross-cutting the other chapters in the book. It is an essential text for academics and advanced students concerned with the sociology of work, management, and organization studies. Contributors to this volume - James Barker, , Professor of Organizational Theory and Strategy, Department of Management, U.S. Air Force Academy Jacques Belangerm Professor of Industrial Relations, Universite Laval Nicole Biggart, Jerome J. and Elsie Suran Chair in Technology Management and Professor of Management and Sociology, Graduate School of Management, University of California, Davis Gibson Burrell, Professor of Organization Theory and Head of the Management Centre, Universtiy of Leicester Peter Cappelli, George W. Taylor Professor of Management and Director, Center for Human Resources, Wharton School, University of Pennsylvania Paul Edwards, Professor of Industrial Relations, University of Warwick Steve Frenkel, Professor of Organizational Behaviour and Industrial Relations, Australian Graduate School of Management Heidi Gottfried, Associate Professor of Labor Studies and Sociology, Wayne State University Didier Guillot, Assistant Professor of Organisational Behaviour, INSEAD Heather Haveman, Professor of Management, Graduate School of Business, Columbia University Geoffrey Hodgson, Research Professor in Business Studies, University of Hertfordshire Randy Hodson, Professor of Sociology, Ohio State University Richard Hyman, Professor of Industrial Relations, London School of Economics and Political Science Marek Korczynski, Reader in Employment Relations, Loughborough University Karen Legge, Professor of Organisational Behaviour, Warwick Business School, University of Warwick Robin Leidner, Associate Professor of Sociology, University of Pennsylvania James Lincoln, Warren E. and Carol Spieker Professor of Leadership, University of California, Berekeley Keith Macdonald, Department of Scoiology, University of Surrey Steve Machin, Professor of Economics, University College London, and Director of the Centre for the Economics of Education and Research Director at the Centre for Economic Performance at the London School of Economics and Political Science Graham Sewell, Associate Professor, Department of Management, University of Melbourne

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.884
Threshold uncertainty score0.950

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.043
GPT teacher head0.270
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations40
Published2024
Admission routes1
Has abstractyes

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