A more accurate approach to measuring the prevalence of sexual harassment among high school students.
Bibliographic record
Abstract
La presente etude s'est penchee sur la prevalence du harcelement sexuel chez les etudiants de l'ecole secondaire. En tout 1 582 etudiants de 18 ecoles ont repondu a une version de l'enquete de l'American Association of University Women (1993). Les evenements de harcelement sexuel signales ont ete limites a ceux qui: a) l'avaient vecu directement, b) s'etaient produits au cours des deux semaines precedentes et c) ont ete signales par des etudiants qui etaient vraisemblablement perturbes par leurs experiences. Malgre cette approche rigoureuse, il a ete trouve que le harcelement sexuel representait un probleme important dans les ecoles secondaires. Quinze pour cent des etudiants avaient ete victimes de harcelement sexuel et etaient tres ou assez perturbes par leurs experiences d'harcelement. Pres de la moitie de ces etudiants perturbes avaient fait l'objet de formes physiques de harcelement sexuel.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".