Sou diferente e igual: discriminação, violência e estratégias de sobrevivência de mulheres com deficiência
Bibliographic record
Abstract
Este artigo assenta em entrevistas a 28 mulheres com diversas idades e tipos de deficiência. Consideraram-se os relatos de episódios contendo atitudes e práticas de discriminação com enfoque nos últimos cinco anos. As violências institucional e simbólica parecem ser os tipos de violência que mais afetam estas mulheres. O artigo também refere as práticas com que as mulheres reagem às discriminações sentidas e as estratégias de sobrevivência que constroem para minorar as consequências das violências a que se encontram mais expostas. Contrariando parte significativa da literatura, onde se afirma que é nas suas famílias que as mulheres com deficiência sofrem os piores atos de discriminação e violência, os relatos mostram que o espaço familiar não é, para a maioria, um espaço particularmente hostil.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".