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 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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".