Bibliographic record
Abstract
PART ONE: MAJOR PERSPECTIVES IN THE SOCIOLOGY OF SPORT PART ONE: MAJOR PERSPECTIVES IN THE SOCIOLOGY OF SPORT Editors' Introduction Functionalism, Sport and Society - John W Loy and Douglas Booth Marxist Theories - Bero Rigauer Cultural Studies and the Sociology of Sport - Jenny Hargreaves and Ian McDonald Feminist Theories for Sport - Susan Birrell Interpretive Approaches to the Sociology of Sport - Peter Donnelly Figurational Sociology and Its Application to Sport - Patrick Murphy, Ken Sheard and Ivan Waddington Posting Up - David L Andrews French Post-Structuralism and the Critical Analysis of Contemporary Sporting Culture PART TWO: CROSS-DISCIPLINARY DIFFERENCES AND CONNECTIONS Editors' Introduction The Anthropology of Sport - Kendall Blanchard Economics and Sport - Marc Lavoie Human Geography and the Study of Sports - John Bale Social History and Sport - Nancy L Struna The Philosophy of Sport - William J Morgan A Historical and Conceptual Overview and a Conjecture Regarding Its Future Politics and Sport - Barrie Houlihan Psychology and the Study of Sport - Diane L Gill PART THREE: KEY TOPICS Editors' Introduction The Development of Modern Sports - Allen Guttmann Political Economy and Sport - George Sage Education and Sport - C Roger Rees and Andrew W Miracle Sport and the Media - Garry Whannel Theorizing Sport, Social Class and Status - John Sugden and Alan Tomlinson Gender and Sport - Nancy Theberge Sport, Racism and Ethnicity - Grant Jarvie Sport and Nationalism - Lincoln Allison Sport and Globalization - Joseph Maguire Social Control and Sport - D Stanley Eitzen Sport and Violence - Kevin Young Sport and Health - Ivan Waddington A Sociological Perspective Sport and Disability - Howard L Nixon II Body Studies in the Sociology of Sport - Cheryl L Cole Doping in Sport as Deviant Behavior and Its Social Control - G[um]unther L[um]uschen Sport and Emotions - Mary Duquin Management, Organizations and Theory in the Governance of Sport - Ian Henry and Eleni Theodoraki Arriving Sport - Robert Rinehart Alternatives to Formal Sports PART FOUR: SPORT AND SOCIETY RESEARCH AROUND THE GLOBE Editors' Introduction Africa - Denver J Hendricks Australia and New Zealand - Chris Collins Eastern Europe - Gy[um]ongyi S Foldesi France - Jacques deFrance Germany - Klaus Heinemann India - I A McDonald Japan - Koichi Kiku Korea (and Southeast Asia) - Burn-Jang Lim Latin America - Joseph L Arbena Nordic Countries - Kari Fasting and Mari Kristin Sisjord Portugal - Salom[ac]e Marivoet and Claudia Pinheiro Spain - N[ac]uria Puig
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.013 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.142 | 0.055 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".