Reconsidering Canadian Citizenship Policy in an Era of Globalization
Bibliographic record
Abstract
Over the last half of the 20th century, forces of globalization have lead to a significant growth in the number of international migrants, and influenced the national governments of emigrant and immigrant countries to implement dual citizenship policies. This paper will argue that global forces have intensified the extraordinary growth of dual citizenship in Canada, changing the social meaning attributed to dual citizenship and placing internal and external pressures on the government to re-evaluate existing citizenship policies and the rights afforded to non-resident Canadians. The first section of this paper will address the theoretical framework of citizenship policy in Canada, as well as its historical foundations. The second section will discuss the forces of globalization, exploring the reasons behind the dramatic increase in dual citizenship. To conclude, the final section will examine the impact of these pressures on Canadian domestic policy as seen through the public debate surrounding the Lebanon evacuation, and the recent revision of policies granting citizenship to third generation nonresident Canadians. The final thoughts section will speak to recommended policy considerations for government.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.035 | 0.015 |
| Scholarly communication | 0.015 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.009 | 0.008 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".