Cidade e gênero: segurança urbana de mulheres profissionais do sexo
Bibliographic record
Abstract
La ville comme forme particulière d'organisation spatiale incite formes spécifiques et complexes de relations, reproduit les différences de genre qui sont socialement produites, inclusif révèle une perception distincte de la sécurité pour les femmes. À travers une ethnographie, réalisée entre décembre 2017 et mars 2018, située sur une place d'une ville du Nord-Est, il est proposé d'analyser la perception de la sécurité des femmes, travailleuses du sexe, cisgenres, dans la tranche d'âge de 18 ans ou plus qui agissent dans l'espace public urbain. La référence d'analyse a été faite à la Guide d'amé-nagement - Pour un environnement urbain sécuritaire développé à Montréal au Canada, justement parce qu'il a l'intention d'être un guide destiné à produire des villes sûres de la perspective du genre.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.000 | 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".