Countless Abused Women Homeless and ilnadequafely f#ouser9'
Bibliographic record
Abstract
Le lien entre la violence des hommes envers les femmes et l'itinkrance n h jamais ktkbien compris. Dans le monde Until abused a la $is visible et cachk des sans-abri, on a omis d'inclure les femmes qui women are cherchent refuge dans les maisons recognized as d'hkbergement et celles qui ne sontplus homeless. the en sPcurite'dans leurs propres maisons. Lesauteurescommententla controverse matter of male autourde l'inclusion hsfemmes battues violence against dans le premier sonduge canadien sur ks sans-abri et recom-mandent que women hill dans la notion de 'Yopement adkquat " confound our il sera tenu compte de la sinrriti des a bilify to red ress hommes et des femmes. the problem.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.036 | 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".