The Politicization of Immigration and Integration at the Subnational Level: Electoral Campaigns in Ontario and Quebec
Bibliographic record
Abstract
Abstract Open political debate on immigration and integration policies (IIP) among Canadian political parties has been relatively limited. As Canada's immigration and integration systems become more decentralized, what about political debates about IIP in Canadian provinces? This article examines how IIP evolved across time by focusing on political parties’ claims, frames and pledges in party platforms and newspapers, using the cases of Ontario and Quebec. In Ontario, IIP were primarily framed as an economic and social resource. However, following the event of 9/11, new frames began to be introduced, contributing to a heightened salience and polarization. In contrast to Quebec, however, this politicization was not sustained. In Quebec, IIP were only marginally a matter of debate until the mid-2000s. This changed following the Hérouxville event, as these topics became salient, and dominant frames of immigration as economic and social resources were challenged by those of immigration as economic and cultural threats.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".