Soberanía alimentaria desde el territorio: aprovisionamiento, prácticas cotidianas y el papel de las mujeres afrocolombianas en el mantenimiento de sistemas alimentarios (Traducción)
Bibliographic record
Abstract
Si bien los movimientos sociales y políticos son generalmente el ámbito de las luchas por la soberanía alimentaria, las prácticas cotidianas de aprovisionamiento son fundamentales para la persistencia de sistemas alimentarios locales y relativamente autónomos. En esta investigación examinamos el aprovisionamiento desde una perspectiva de género en una comunidad colombiana afrodescendiente como un caso de estudio de "soberanía alimentaria desde el territorio". Encontramos que las prácticas cotidianas de aprovisionamiento de las mujeres sostienen los hogares, mantienen las relaciones socioculturales y ecológicas y permiten una mayor autosuficiencia en el contexto de procesos de integración económica al mercado. Aproximarse al aprovisionamiento desde una perspectiva de género deja entrever las complejidades, relaciones de poder y desafíos que subyacen a estos sistemas alimentarios locales. Indagar sobre esta dimensión frecuentemente ignorada puede contribuir a identificar y comprender mejor el aporte de las mujeres a la construcción cotidiana de la soberanía alimentaria.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".