The Development of Dual Loyalties: Immigrants' Integration to Canadian Regional Dynamics
Bibliographic record
Abstract
Abstract. The transformations in recent patterns of immigration have the potential to reshape the trajectory of Canada's regional political dynamics. Drawing on data from the 1993–2006 Canadian Election Studies , this analysis explores how immigrants adjust to the prevailing regional political norms in Quebec, Ontario, Alberta and British Columbia. Do newcomers adopt the political orientations (feelings towards Canada and their province, confidence in provincial and federal governments, perceptions about how the province is treated by the federal government and support for the Liberal party) that resemble those of their native-born provincial counterparts? The results suggest that immigrants, especially newer waves from non-traditional source countries, tend to develop orientations that are more federally oriented than the local populations in their province. This tendency is most pronounced in Quebec where both groups of immigrants from traditional and non-traditional source countries internalize political grievances and norms less efficiently than their counterparts in other provinces. Résumé. Les transformations récentes des tendances migratoires pourraient avoir un impact sur l'évolution des dynamiques politiques régionales au Canada. Cette enquête s'appuie sur les données de sondage de l' Étude électorale canadienne de 1993 à 2006 et vise à déterminer si les immigrants adoptent les attitudes et les comportements politiques dominants de leur province de résidence (Québec, Ontario, Alberta et Colombie-Britannique). Les immigrants adoptent-ils des attitudes et des comportements politiques (attachement au Canada et à la province de résidence, confiance envers les gouvernements fédéral et provincial, perception du traitement réservé par le gouvernement fédéral à la province de résidence et appui au Parti libéral du Canada) qui ressemblent à ceux des populations locales de leur province? Les résultats de l'enquête suggèrent que les immigrants, surtout ceux d'origines dites non traditionnelles, ont tendance à développer des comportements et des attitudes politiques plus orientés vers le gouvernement fédéral que ceux affichés dans leur province. Cette tendance est particulièrement marquée au Québec où les immigrants, tant d'origines traditionnelles que non traditionnelles, semblent assimiler moins efficacement que les immigrants des autres provinces les griefs et les normes politiques de la population provinciale.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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".