India Migration Report 2024 : Indians in Canada
Bibliographic record
Abstract
<p><i>India Migration Report 2024: Indians in Canada</i> is one of the first volumes to comprehensively examine and analyse the different facets of Indian migration to Canada.</p><p>This volume:</p><p>• Examines the comprehensive history of Indian migration to Canada, including the story of social, cultural, economic, and political integration, analysis of socio-economic characteristics, and evolving political scenarios surrounding student migration and diasporas.</p><p>• Presents an overview of migration and post-migration experiences of Indian immigrant and Indo-Canadian women and the rising trend of high-skilled Indian female migration to Canada.</p><p>• Discusses the influence of Canadian immigration policy and its effects on the changing immigration patterns of Indians to Canada.</p><p>• Examines the challenges faced by Indian immigrants and Indo-Canadians due to deeply entrenched Eurocentric and Ethnocentric biases and the impact of COVID-19 on the community.</p><p>• Explores the effect of adult children’s migration on the health and suffering from disability of elderly left behind in the migration process.</p><p>The book also discusses leveraging migration for international development. The book will be of interest to scholars, students, researchers, or anyone interested in migration and diasporic studies, development studies, the politics of migration, immigration policy, social anthropology, economics, and sociology.</p>
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.013 | 0.018 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.007 | 0.020 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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".