Grandmothers at the Centre in Velingara, Senegal: The Transmission of Knowledge, Education, Intergenerational Relationships and the Gift Logic
Bibliographic record
Abstract
Les considerations contenues dans ce texte ont ete generees d’une part par la collaboration de l’auteur avec Grand-Mother Project (gmp), une ong americaine-senegalaise qui travaille au Senegal dans un contexte marque par des serieux conflits intergenerationnels et par une perte des valeurs traditionnelles et de l’autre par la rencontre avec Genevieve Vaughan et sa theorie du don maternel unilateral, qui met en evidence la difference radicale entre la logique du don et la logique de l›echange - logique qui s’impose en discreditant la logique du don et des ceux qui la pratiquent. Dans le cadre de l›experience de gmp, le discredit des pratiques traditionnelles, dont souffrent les communautes locales, dans lesquelles les femmes âgees sont les premiers cibles, rentre dans cette dynamique. En valorisant les femmes âgees, qui precedemment etaient fortement marginalisees, gmp a individue une strategie efficace pour reactiver des pratiques de solidarite et d’education communautaire, qui visent a retrouver un bien-etre collectif surtout celui des femmes, des ados, et des enfants.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.011 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".