Bibliographic record
Abstract
ABSTRACT. This paper draws on postmodern feminism to create a conceptual framework for equitable policy development within educational institutions. It first outlines major concepts of postmodern feminism as distinguished by Luke and Gore (1992), after which it focuses specifically on postmodern feminism and education. Finally, the paper details educational policy development utilizing Tong's (1986) work on the role of epistemology and expertise in policy making. RESUME. Cet article s'inspire du feminisme post-moderniste pour creer un cadre conceptuel en vue de l'elaboration des politiques equitables dans les etablissements d'enseignement. L'auteur commence par exposer les principaux concepts du feminisme post-moderniste selon Luke et Gore (1992), avant de se concentrer en particulier sur le feminisme post-moderniste et l'education. Enfin, elle decrit l'elaboration des politiques educatives en precisant le role de l'epistemologie et du savoir-faire a partir des travaux de Tong (1986).
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.025 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".