From Haiti to Canada: The Migration That Binds
Bibliographic record
Abstract
This study explores Haitian migration to Canada, the networks tying the two countries together, and the statecraft managing this movement during the decade beginning in 2010. The work investigates transnational spaces as a principal feature of contemporary Haitian migration and contends that Haitian cultural identity and solidarity within these spaces become decisive factors around why many Haitians choose to come to Canada. The concept of a diasporic lakou is highlighted as a transnational space of collectivist solidarity that provides a new and culturally inflected approach to future Haitian migration and migrant transnationalism research. Ideas of slow harm and ontological security are also integrated into this relational theoretical framework. Based on interviews in two Canadian provinces with people of Haitian backgrounds, empirical findings point to the intensifying impoverishment and insecurity generated by natural disasters and political instability in Haiti. Changing government provisions, agreements, and regulations on Haitian migration are also traced to deepen the analysis.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.038 | 0.006 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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; 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".