Moving Past Campus Experiences of Sexual Assault: The Development of a Feminist Consciousness for Healing Past Trauma
Bibliographic record
Abstract
Le taux des assauts sexuels envers les femmes est scandaleusement eleve au Canada et les etudiantes sur les campus sont particulierement exposees a la victimisation. Il est reconnu que les assauts sexuels entrainent des irregularites au niveau de la sante mentale qui ont le pouvoir de raviver la victimisation. C’est pourquoi les survivantes doivent etre soignees immediatement apres l’assaut si on veut empecher ces troubles de se manifester. Une conscientisation feministe permet aux femmes de voir les realites sociales de leur assaut et detournent le blâme quand elles commencent a comprendre la vaste structure patriarcale qui appuie la violence envers les femmes. De plus l’education feministe donne aux femmes un langage qui leur permet de construire un recit autour de leur experience et de le partager avec un auditoire compatissant qui favorisera la guerison. L’auteure propose aux campus canadiens d’orienter les etudiantes qui ont survecu vers une conscience feministe qui leur permettra de se guerir des experiences traumatisantes reduisant ainsi les effets negatifs sur leur sante mentale et minimiser les risques de revictimisation.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.034 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".