Transnationalizing Families: Canadian Immigration Policy and the Spatial Fragmentation of Care‐giving among Latin American Newcomers <sup>1</sup>
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
Abstract Complex factors associated with migration and immigration policies contribute to the dispersion of families across space. We draw on interviews with 40 Latin American women in Toronto who experienced separation from children as a result of migration and argue that Canadian immigration policy and elements of the women’s context of departure lead to the systemic production of transnational family arrangements. Once in Canada, the women dealt with unexpected lengths of separation, the spatial dispersal of social reproduction, and post‐reunification problems. The absence of a normative framework that could help the mothers make sense of family dispersal meant that their experiences of migration, family separation, reunification and settlement were marked by tension, guilt, isolation and shame.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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