"Still Out There" Experiencing Substance Use and Violence in Rural British Columbia
Bibliographic record
Abstract
Cet article aborde les changements que les femmes violenties ont appods h leur consommation de drogues et qui ont eu recours h lhide des maisons d'hkbergement rurales et urbaines. Elles vivent les de$s incluant le stress lie ' h lhrgent, au logement, h la lkgislation et aux services sociawc fiapentks. Lesfemmes ont besoin deplus de services intkgris et de h i d e pratique surtout duns les rigions rurales. Violence against women continues to be a serious prob-lem for women in Canada, and has multiple legal, social, psychological, and health consequences. Rural women who experience abuse have particular issues related to their location. Several structural issues have been identified as key exacerbating factors in violence against women who live in rural communities Uiwani). Distance from, or Iack of, adequate services; limited educational/employment
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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 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".