«Aneu a morir en un altre lloc!»: La mort musulmana al Quebec: una mort no desitjada
Bibliographic record
Abstract
espanolEste texto forma parte de la investigacion« Muertes en migracion» (MECMI) i presenta el analisis de un estudio encargado por el Departamento de Inmigracion, Diversidad e Inclusion del Gobierno de Quebec. Los resultados muestran la urgencia de considerar muy seriamente el sentimiento de islamofobia vivida por los musulmanes de Quebec i tratar el tema de sus demandas de inhumacion dentro de un marco de ciudadania igualitaria, democratica y comun. Establecer obstaculos a sus ritos funerarios es percibido como una forma de islamofobia mortem i post mortem. catalaAquest text forma part del treball de recerca «Morts en migracio» (MECMI) i presenta l’analisi d’un estudi encarregat pel Departament d’Immigracio, Diversitat i Inclusio del Govern de Quebec. Els resultats mostren la urgencia de considerar molt seriosament el sentiment d’islamofobia viscuda pels musulmans del Quebec i tractar el tema de les seves demandes d’inhumacio dins d’un marc de ciutadania igualitaria, democratica i comuna. Establir obstacles als seus ritus funeraris es percep com una forma d’islamofobia mortem i post mortem. EnglishThis text is part of the Death in Migration (MECMI) research project and presents the findings of a study commissioned by the Department of Immigration, Diversity and Inclusion of the Government of Quebec. The results show the urgency of seriously considering the feeling of Islamophobia experienced by Quebec Muslims and addressing their demands for burial within a framework of egalitarian, democratic and common citizenship. Establishing obstacles to funeral rites is perceived as a form of mortem and post-mortem Islamophobia.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".