Bustling across the Canada-US Border: Gender and the Remapping of the Caribbean across Place
Bibliographic record
Abstract
While discussions of transnational migration now offer rich studies of the embodied transgression of territorial boundaries, empirical investigations in the social sciences have largely tended to be preoccupied with the relations sustained between origin/home/departure and destination/away/settlement societies. This emphasis has arguably restricted our comprehension of the complexity of transnational practices that connect people not just with the place they left but across sites of migration. Drawing on the example of Caribbean women who travel regularly between Toronto and New York, this essay explores gendered and routinized modes of travel across sites of migration that displace the home-away dyad. How might we explain these visits to Caribbean people in places other than the Caribbean and to Caribbean places in North America? How might we account for the prominence of women across these circuits, and what might such gendered journeys offer to discussions of Caribbean culture and identity?
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.033 | 0.033 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".