Bibliographic record
Abstract
La recherche sur les agricultrices a tendance ri souligner les caractkristiques de leur vie sur ia ferme et la structure du fernage quand il s hgit de promouuoir l2galite ' I l'intkrieur de cette fonction. Cet article assure que le climat politique exerce un impact considkrable sur l'igalite ' des femmes en agriculture comme ceJirt le cm en Iriande du Nord dans le contexte d'un changement politique radical. L huteure se demande si ce changement pourrait seruir de mod & pour faire auancer la place des femmes dans le contexte de la dmocratie canadienne plus stable et plus kvoluke. Research on farm women has greatly advanced our un-derstanding of women's farm work (Gasson; Reimer), their involvement, or lack there of, in farming organiza-tions, (Teather 1994; Shortall 1999), and their low par-ticipation in agricultural education and training (Liepins and Schick; Schmitt; Shortall 1996). This research has tended to focus on farm women, the characteristics of their farming lives and the structure of farming when considering how to advance equality for women within this occupation. With the notable exception of some
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.012 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 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".