The Acculturation of Canadian Immigrants: Determinants of Ethnic Identification with the Host Society*
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
En utilisant le Canada comme exemple, nous tentons de déterminer jusquà quel point les immigrants adoptent l'identitée ethnique de leur pays d'accueil, empruntant ou non une identité ethnique d'assimilés ou d'intégrés. Nous portons une attention particulière à l'impact de I'intégration économique, du nombre d'années écoulées depuis lémigration, de l'origine ethnique et de l'appartenance à une minorité visible sur l'identité ethnique. Étonnamment, nos résultats démontrent que les indicateurs du succès économique tels que le statut professionnel, l'emploi et les revenus antérieurs n'ont aucune influence sur léventualité que les immigrants endossent ou non l'identité de leur société d'accueil. L'analyse statistique de cet article s'appuie sur la documentation actuelle sur l'acculturation. Using Canada as an example, we examine the extent to which immigrants take on the ethnic identity of their host country, thus displaying either an assimilated, integrated, or neither assimilated nor integrated ethnic identity. We pay particular attention to the impact of economic integration, years since migration, ethnic origin and visible minority status on ethnic identity. Surprisingly, our findings reveal that indicators of economic success such as employment status, occupation and prior earnings do not have an impact on whether immigrants will assume the identity of their host society. The statistical analysis for this paper is situated within the existing acculturation literature.
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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 | 0.010 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.007 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 it