The Political Economy of ‘Race’ and Class in Canada’s Caribbean Diaspora
Bibliographic record
Abstract
While there are over 500,000 people in Canada who claim Caribbean origins or descent, they do not automatically constitute a Caribbean ‘community’ or a Caribbean diaspora. The Caribbean diaspora in Canada, often confused with something called a “black diaspora,” is smaller, more homogeneous in class terms, more racialized and more concentrated in certain neighborhoods. Because of the advantages that accrue to capital from having a pliable workforce that will eagerly accept low wages and less than ideal working conditions, it is important to have a diaspora to which capital can go in times of labor need; at the same time, given their powerlessness, the flexibility of such a workforce guarantees that such workers can be easily dismissed during economic downswings. In all of this “race,” racism and racialization play a key role, and came to a head when community leaders and parents were successful in launching a black-focused school in Toronto. At the end of the day, however, the class affiliation of members of the diaspora is clearly distinct from that of the more economically successful and occupationally mobile CaribbeanCanadians, whose social class, educational and residential locations separate them from their diasporic countrymen and countrywomen.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.009 | 0.012 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".