Réseautage et collaboration d’organisations locales sur la filière moringa en Haïti
Bibliographic record
Abstract
Entre 2015 et 2020, le programme ACCES Innovation d’Oxfam-Quebec a fourni un renforcement de capacites sur la filiere moringa a cinq partenaires d’Oxfam du departement de l’Artibonite, en Haiti. Ces partenaires — des organisations de femmes et des cooperatives composees principalement de femmes — ont pu se positionner sur les principaux segments de la filiere (production de feuilles, transformation en poudre et commercialisation), en plus d’explorer d’autres debouches, comme la transformation de la matiere en produits cosmetiques. Cette etude de cas aborde l’originalite, l’efficacite et la portee de l’intervention, en mettant l’accent sur les resultats et les facteurs de succes tels que la capacite de production des ateliers de transformation, le reseautage des partenaires, la valorisation des proprietes nutritionnelles du moringa et l’autonomisation economique et le leadership des femmes. Between 2015 and 2020 Oxfam-Quebec’s ACCES Innovation Program provided five partners with capacity building to develop the moringa value chain in the Artibonite region of Haiti. These women’s organizations and women-dominated cooperatives positioned themselves at different stages of the value chain (leaf production, powder transformation and marketing). They also explored other avenues such as moringa use in cosmetic products. This case study looks at the intervention’s originality, efficiency and scope, detailing the results and success factors such as the workshop’s productive capacity, networking between partners, validation of moringa’s nutritive properties and women’s economic empowerment and leadership. The case study is part of a series conducted in the final phase of Oxfam-Quebec’s Volunteer Cooperation Program, Program ACCES Innovation, which took place in ten countries from 2015 to 2020.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".