Filantropía para la innovación social: estrategias colaborativas e integradoras para los Objetivos de Desarrollo Sostenible (ODS)
Bibliographic record
Abstract
[Resumen] La innovación social consiste en procurar soluciones novedosas a complejos problemas de la sociedad actual, incluidos los retos de sostenibilidad. Los Objetivos de Desarrollo Sostenible (ODS) 2 (Hambre cero), 3 (Salud y bienestar) y 12 (Producción y consumo responsables) confluyen en el desafío de transformar la gobernanza de los sistemas alimentarios para garantizar su seguridad y sostenibilidad. Se presenta una iniciativa innovadora (colaborativa e integradora) en este ámbito, liderada por la fundación filantrópica privada J.W. McConnell. Se contextualizan el problema del acceso a alimentos saludables y el movimiento social cristalizado en la alianza Food Secure Canada para conseguir sistemas alimentarios sostenibles en Canadá. Dentro de la cadena de suministro institucional destaca el programa “Nourish” (“Nutrir”), dedicado a transformar la gobernanza alimentaria en el sector sanitario a través de: 1) la comprensión de la conexión entre alimentación, salud y curación; y 2) la construcción de una comunidad nacional de innovadores que mejoren los menús e implanten la compra sostenible.
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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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.011 | 0.016 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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".