Rethinking Burawoy: Reflections from Canadian Feminist Sociology
Bibliographic record
Abstract
As president of the American Sociological Association in 2004, Michael Burawoy initiated a lively discussion about the sociological terrain in the United States and appealed to his colleagues to engage in more ‘public sociology’ (Burawoy, 2004, 2005a). We applaud Burawoy’s efforts to begin the task of contextualizing US sociology and of renewing the challenge to embrace rather than eschew engagement with various publics. In outlining his version of public sociology, Burawoy has provided complex, thought-provoking if ambiguous conceptualizations that have led to vigorous debate and examination of core terms. In this paper, we aim to contribute to the debate by discussing feminist sociology, particularly in Canada.
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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 | 0.021 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.076 | 0.063 |
| Scholarly communication | 0.021 | 0.011 |
| Open science | 0.005 | 0.010 |
| Research integrity | 0.013 | 0.020 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
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".