Entre las desigualdades de género: un lugar para las mujeres pobres en la seguridad alimentaria y el combate al hambre
Bibliographic record
Abstract
El presente trabajo analiza las condiciones de inequidad y desigualdad social a las que una gran parte de las mujeres pobres de los países del hemisferio Sur en lo general y en específico las mujeres rurales de México, se enfrentan para poder sortear una serie de obstáculos impuestos por una violencia estructural y lograr satisfacer las necesidades alimenticias de sus familias y/o evitar el hambre. A partir de tres fenómenos de la desigualdad: explotación, discriminación y exclusión, este documento explora cómo estas mujeres pobres van cobrando visibilidad en varias dimensiones políticas del desarrollo social, en las cuales se diseñan programas de combate a la pobreza y al hambre. Se concluye que la seguridad alimentaria y el género son temas insolubles frente a las violencia estructural que mantiene relaciones de poder, asimetrías y jerarquías en los proceso locales sometidos a reglas de procesos más amplios y globales.
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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 | 0.002 | 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 | 0.005 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| 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".