Espace urbain et religion : esquisse d’une géographie des lieux de culte minoritaires de la région de Montréal.
Bibliographic record
Abstract
Cet article esquisse une géographie des lieux de culte dits minoritaires (c'est-à-dire non catholiques romains ou protestants) de la région montréalaise et examine quelques éléments des stratégies spatiales déployées par différents groupes religieux dans la localisation de leurs lieux de culte. Dans un deuxième temps, nous nous intéressons au contexte réglementaire qui encadre l'aménagement des lieux de culte à l'échelle municipale. En nous inspirant de l'étude récente de quelques cas d'aménagement de lieux de culte au sein des communautés juives hassidiques et musulmanes montréalaises, nous concluons en présentant les principaux enjeux - fiscaux, économiques, politiques et sociaux - de cohabitation qui sous-tendent les aménagements cultuels dans l'espace urbain montréalais.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".