Rethinking Burawoy: Reflections from Canadian Feminist Sociology
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it