Pierre Bourdieu's <i>Masculine Domination:</i> A Critique*
Bibliographic record
Abstract
Les auteurs montrent que la tentative de Pierre Bourdieu de résoudre le problème de la « domination masculine» est limitée par l'application inconséquente de son propre répertoire conceptuel, par l'emploi d'exemples empiriques périmés et par l'utilité douteuse du cas des relations sociales en Kabylie. Un rejet des catégories fondamentales (« homme », « femme ») et le recours à une conception plus nuancée de la domination seraient une approche plus prometteuse. An uneven application of his own conceptual repertoire, outdated empirical materials and the questionable utility of the example of relations in Kabylia limit Bourdieu's attempts to come to grips with “masculine domination.” A more useful approach would move beyond essentializing categories and engage with a more nuanced conception of domination.
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How this classification was reachedexpand
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| 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 teacher head, 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".