A pandemia de Covid-19 e seus entrelaçamentos com desigualdade de gênero, insegurança alimentar e apoio social na América Latina
Bibliographic record
Abstract
Enquanto crises econômicas desencadeiam o aumento da insegurança alimentar (IA) e da desigualdade de gênero (DG), o apoio social tem mostrado aliviar esses impactos. No entanto, diferentemente de outros choques econômicos, a pandemia de Covid-19 incluiu no cenário de crise o isolamento social. Este estudo utilizou dados de pesquisa transversal coletados em 18 países da América Latina (AL) para avaliar as mudanças nas percepções de DG e sua associação com a IA e o apoio social durante período de crise econômica na região. Os resultados mostraram aumentos graduais nas percepções de DG na AL e que os entrevistados com IA e baixo apoio social eram os mais propensos a perceber a DG. Mulheres são mais vulneráveis à IA e à violência doméstica, e o isolamento social pode ser um agravante. Políticas públicas devem garantir que mulheres tenham maior controle sobre a renda e bens produtivos.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 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; both teacher heads agree on what is shown here.
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".