Consulta Pública sobre racismo e discriminação sistêmica em Montreal
Bibliographic record
Abstract
Montreal é reconhecida como uma das cidades mais multiculturais do Canadá, acolhendo comunidades imigrantes de mais de 120 países. No entanto, essa diversidade convive com profundas desigualdades e manifestações de racismo sistêmico que atravessam diversas esferas da vida urbana, como a segurança pública, a educação, a habitação, a saúde e o acesso à cultura. Motivados pela ausência de políticas municipais de combate ao racismo, pela falta de representação política de minorias étnicas, pela desigualdade entre grupos raciais no mercado de trabalho e criminalização desproporcional no sistema de justiça, um coletivo de cidadãos enviou uma petição solicitando às autoridades municipais a realização de uma consulta pública sobre racismo e discriminação sistêmica em Montreal.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".