Transnational geographies: Indian immigration to Canada
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
Immigration from the Asia and Pacific area now accounts for over 50 percent of all Canadian immigration. Therefore, any consideration of Canada's linkages with Asia must address this issue. While much work has debated the impact of immigration in Canada's urban centres, less has been directed to understanding the transnational nature of such population movements, or their specific transnational geographies. In this paper, I consider the geography of immigration from India to Canada. Immigration from India has traditionally been tightly regionalised, with the majority of immigrants originating from the Doaba area of Punjab. Settlement in Canada is also highly concentrated at the provincial, metropolitan and suburban scales. Drawing upon a range of qualitative and quantitative data collected in both India and Canada, I illustrate the geography of immigration from India and highlight some of the processes that contribute to creating transnational networks between these sites .
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.011 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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