Transnational Practices of Care: The Azorean Migration in Quebec (Canada)
Bibliographic record
Abstract
The practice of caring at distance is more and more in the focus of the scholarly research on transnational migration. The existence of exchanges across frontiers shows that the intergenerational familial solidarity subsists in the context of transnational migration. How is intergenerational caring reconfigured within the transnational families? How do stages of the life course shape transnational care giving? These are the questions examined in our research on the Portuguese migration from the Azores archipelago to Canada, a yet under-documented phenomenon. Starting in the mid-1950s, Portuguese migration flows directed to Canada reached a peak in the 1970s, continuing until today at lower levels. Maintaining strong ties with their origin communities through multi-directional exchanges (visits, traditional feasts, etc.), as well as return migration of the first generation registered in the last years, allow us to observe this transnational migration as a historical phenomenon that perpetuates over more than five decades. Organized mainly as family-led migration, this phenomenon today involves three generations of migrants who have multiple bonds and various relations to their origin country. Based on exploratory fieldwork conducted in 2009 in the Azores and Quebec (Canada), we examine the practices of caring at distance and the variations between generations and along the life course.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.013 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".