Small Worlds of Diversity: Views toward Immigration and Racial Minorities in Canadian Provinces
Bibliographic record
Abstract
Abstract. Canadian provinces have long been considered as “small worlds,” each with its own cultural distinctiveness and province-building dynamics. This article examines whether these same provincial specificities are observed in terms of attitudes toward immigration intakes and racial diversity. Three questions are asked. First, are there important variations in views toward immigration and racial minorities across Canadian provinces within the native-born white Canadian population? Second, have the differences and similarities changed between 1988 and 2008? And third, do specific provincial economic, demographic, and cultural realities shape provincial public opinion on these matters? The findings indicate that there are significant differences and commonalities in how all provinces react to immigration and racial diversity, that native-born white Canadians have grown increasingly accepting of immigration and racial diversity over time and that views toward immigration and racial diversity are distinct from each other and each responds to a specific set of provincial realities. Résumé. Les provinces canadiennes constituent de “petits univers,” chacune possédant sa propre culture et sa propre dynamique politique. Cet article explore si de telles spécificités provinciales peuvent être également observées en ce qui a trait aux attitudes par rapport à l'immigration et à la diversité raciale. Nous posons trois questions. Premièrement, y a-t-il des différences d'opinions quant à l'immigration et aux minorités raciales entre provinces canadiennes au sein de la population blanche née au Canada? Deuxièmement, est-ce que les similarités et les différences entre les provinces ont changé entre 1988 et 2008? Et troisièmement, est-ce que les réalités économiques, démographiques et culturelles provinciales influencent l'opinion publique provinciale sur ces questions? Les résultats de l'étude indiquent qu'il y a à la fois des similarités et des différences quant aux attitudes des différentes provinces sur l'immigration et la diversité raciale, que la population blanche née au Canada s'est montrée de plus en plus ouverte à l'immigration et à la diversité raciale au cours de la période à l'étude, et que les attitudes par rapport à l'immigration et la diversité raciale ne sont pas identiques et qu'elles répondent chacune à leur façon à un certain nombre de réalités provinciales.
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 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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.014 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".