Bibliographic record
Abstract
Edited by MAriE j.BouchArd, AnjEl ErrASti And cArMEn MArcuEllo Gender equity in the social economy: Achievements, limitations and challenges for transformation MAriE j.BouchArd, AnjEl ErrASti and cArMEn MArcuEllo the role of the social economy as a transformative agent in labour markets: contribution to the reduction of gender gaps in job quality roSA BElén cAStro núñEz, roSA SAntEro-SánchEz and lidiA dE cAStro roMEro Pathways to women's empowerment and social inclusion through cooperative entrepreneurship: insights from Morocco AichA AhnAch, WiAM zouhAir and lAhouSSinE rAchidi Feminist economy and care cooperatives from a gender perspective: the experience of three latin American countries MAríA AlEjAndrA inoStrozA-corrEA, PAulA MirAndA and lEonArdo AlonSo ArAyA ArcoS Gender, SSE and French public policies for ageing at home AnniE duSSuEt and louiSE GASté (in)Equality and commitments: Women on cooperatives' boards of directors in Belgium zoé MArliEr and Frédéric duFAyS transformational leadership and performance in social economy entities: the moderating effect of board gender diversity inocEnciA Mª MArtínEz-lEón, iSABEl olMEdo-ciFuEntES, jorGE luiS SánchEz-nAvArro and nArciSo ArcAS-lArio
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.919 | 0.901 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".