Futurité blanche en crise à Montréal : temps et espaces de la gestion de la race
Bibliographic record
Abstract
Cet article porte sur la géographie de la futurité blanche au Québec, autour du cas de la ville de Montréal. Par ce concept, qui rend compte de la manière dont la blanchité est construite par rapport à l’avenir et comment l’imagination du futur façonne les discours et les pratiques raciales actuels, notre but est de saisir la gestion de la race dans ses dimensions temporelles et géographiques. Nous proposons alors une analyse générale de la futurité blanche et de la manière dont des crises de cette futurité ont émergé au Québec à partir des années 1970. Ces crises sont liées à l’augmentation des flux de migrations globaux, mais s’expliquent aussi par le déclin de la natalité blanche. Nous examinons ensuite deux moments qui mettent en évidence comment les altérités noire et musulmane sont mobilisées comme étant opposées à la blanchité et construites comme mettant en péril son futur.
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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 | 0.001 | 0.003 |
| Science and technology studies | 0.018 | 0.012 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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".