La diversité ethnique croissante des quartiers de classe moyenne dans la métropole montréalaise : des jeunes familles perplexes
Bibliographic record
Abstract
The impact of the growing ethnic diversity of Canada’s largest cities has been widely discussed. However, middle-class neighborhoods in recent ethnocultural transition have not been explored, especially the representations of these changes by their inhabitants. In this paper, we study attitudes of young families, immigrant and non-immigrant, towards ethnic transformations. When raising their children, young family households seem particularly concerned with their living environment and the representation of the changes occurring within their neighbourhood. Our study builds on fifty interviews conducted with families attending public places (parks and public libraries) in two neighbourhoods in the Montreal metropolitan area—one in the suburb, the other in the inner city. While increasing ethnic diversity does not seem to have a direct impact on their residential choices, our results show the more perplexing relation of young families towards changes within their environment, as these extend well beyond differentiated urban experiences between suburbs and the inner city. Schools, libraries, cultural and leisure activities organized in parks also appear as important places in the meeting of young families with the Unexpected Other.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".