Diverse Pathways to Immigrant Political Incorporation
Bibliographic record
Abstract
In both Canada and the United States, immigration is producing major demographic and sociocultural changes. Yet relatively little research has been devoted to the impact of immigration on each country’s political life. Even less attention has been paid to comparing the patterns of immigrant political participation in both countries. This has left underinvestigated a host of important questions about the body politic of Canada and the United States: Measured at national, urban, and community scales, do immigrants in the two countries become integrated into formal politics such as voting and running for elected office? Are they engaged in more informal political activities such as community and ethnic organizing? If so, then how do various immigrant communities mobilize politically, form agendas and alliances, express their voices, and expand their opportunities? As more countries and cities around the world become immigration destinations, there is much to be learned about creating inclusive political systems from the comparative experience of Canada and the United States illustrated in this volume.
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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 | 0.000 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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; both teacher heads agree on what is shown here.
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".