THE GAMES ACADEMICS PLAY: A CONVERSATION WITH MICHAEL BURAWOY
Bibliographic record
Abstract
Michael Burawoy, ex-presidente da American Sociological Association e da International Sociological Association, é um dos cientistas sociais mais destacados do início do século XXI. Depois de ter realizado trabalho de campo em pesquisa etnográfica durante boa parte de sua carreira acadêmica, Burawoy recentemente direcionou sua atenção às divisões do trabalho internas à sua disciplina, produzindo uma análise instigante que culminou em sua defesa da sociologia pública. Na conversa a seguir, Burawoy usa exemplos de sua pesquisa etnográfica para abordar temas predominantes na sociologia do esporte. Ele formula suas visões sobre os movimentos sociais que eclodiram recentemente em várias partes do mundo e apresenta uma crítica incisiva à mercantilização do esporte e do lazer.
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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 | 0.012 | 0.020 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.021 | 0.019 |
| Scholarly communication | 0.014 | 0.021 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.014 | 0.039 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".