‘Rising Strongly and Rapidly’: The Universal Negro Improvement Association in Canada, 1919–1940
Bibliographic record
Abstract
Abstract: Led by Jamaican-born Marcus Garvey, the Universal Negro Improvement Association (UNIA) spanned the globe and enticed its followers with the dream of an independent black nation in Africa. The UNIA has been portrayed largely as an American and/or Caribbean phenomenon. Yet from 1919 to 1940, the UNIA played a central role in the lives of many blacks in Canada, especially West Indian immigrants. West Indian immigrants comprised the vast majority of UNIA members in Canada, and they used this organization as an outlet to create and express a unique ethno-racial identity. Distinctive commonalities among the West Indians, including high literacy rates, experience in trade unions, and a strong pan-African consciousness made them more likely to join the UNIA than African American immigrants and native-born Black Canadians. These shared traits became part of the fabric of a distinct West Indian identity, which they asserted as leaders, organizers, and participants in the UNIA.
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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 | 0.002 | 0.007 |
| Science and technology studies | 0.012 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".