Beyond Economics: Broadening Perspectives on Immigration to Canada
Bibliographic record
Abstract
This article reviews and critiques the current immigration policies in Canada, which are increasingly focused primarily on economic considerations. Data from a sample of 182 immigrant Chinese families (including mothers, fathers, and adolescents) are used to illustrate disconnections between immigration policy and the experiences of immigrants to Canada. The current individually-oriented immigration class system does not recognize non-economic motivations for immigration among principal applicants (e.g., for children’s future prospects) or the economic contributions of accompanying spouses. We argue for the incorporation of a long-term family-based lens for creating and evaluating immigration policy, one which accounts for the sacrifices parents make for their children and the contributions to Canadian society made by this next generation of Canadians. Furthermore, we caution against adopting policies that, over time, may limit the cultural diversity of new Canadians. We argue that supporting immigrants’ ability to be bicultural promotes multiculturalism, which benefits all of Canadian society. Cet article fait la critique des politiques d’immigration actuelles au Canada, qui sont de plus en plus axés essentiellement sur des considérations économiques. Les données provenant d’un échantillon de 182 familles immigrantes chinoises (y compris les mères, les pères et les adolescents) sont utilisés pour illustrer les déconnexions entre la politique d’immigration et les expériences des immigrants au Canada. Le système de classement d’immigration actuel orienté sur l’individu ne tient pas compte des motivations non économiques de l’immigration parmi les demandeurs principaux (par exemple, pour les perspectives d’avenir des enfants) ou les contributions économiques des conjoints accompagnant. Pour la création et l’évaluation de la politique d’immigration, nous appuierions l’incorporation d’une perspective long terme basée sur la famille, une politique qui prend en compte les sacrifices des parents pour leurs enfants et les contributions à la société canadienne faite par cette prochaine génération de Canadiens. De plus, nous mettons en garde contre l’adoption de politiques qui, au fil du temps, peuvent limiter la diversité culturelle des nouveaux Canadiens. Nous soutenons que le soutien de la capacité des immigrants de devenir biculturel favorise le multiculturalisme, qui profite à toute la société canadienne.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".