A VIOLÊNCIA CONTRA AS MULHERES DURANTE A PANDEMIA DE COVID 19 EM PORTUGAL
Bibliographic record
Abstract
O contexto pandémico, particularmente o primeiro confinamento de 18 de março de 2020, trouxe uma enorme incerteza, tanto em Portugal como em todo o mundo, sobre o que estaria a acontecer às mulheres relativamente à sua exposição a situações de violência. Este artigo apresenta os principais dados obtidos no projeto O impacto da COVID-19 na violência contra as mulheres, desenvolvido em 2020. Através de uma amostra estatisticamente representativa de 1500 mulheres portuguesas (Continente e Regiões Autónomas) foi possível concluir que, durante o período do primeiro confinamento, as mulheres ficaram ainda mais expostas à violência do que anteriormente.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.005 |
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".