The Legacy of French Colonialism in the Francophone Caribbean: Migration, Anti-Haitianism, and Anti-Blackness in Guadeloupe and French Guiana
Bibliographic record
Abstract
Haiti has a huge migration problem. Thousands flee the country every year due to its political and socioeconomic instability. The locations that Haitians prefer to settle in are the United States, Canada, and France. Haitian people have also migrated within neighboring islands in the Caribbean region. Because of Haiti’s current conditions, every country and the territory in the Caribbean Basin has misconstrued views of Haiti. They are very critical of Haitian people and project xenophobia onto those within their presence. The problem is that these are black-majority societies marginalizing another black-majority society. The question this problem raises is why are these Afro-Caribbean societies so anti-black, or in this case anti-Haitian? This thesis seeks to answer this question and examine the roots of anti-Haitian xenophobia for the Haitian Diaspora that have settled in the French Caribbean territories of Guadeloupe and French Guiana. Both territories are Haiti’s linguistic and cultural counterparts, yet their societies are firm in their rejection of Haitian migrants. Thus, anti-Haitianism exists as a byproduct of French colonization, internalized anti-blackness, and the complexities of Afro-Caribbean identity formation.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.009 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".