Locating Caribbean Studies in Canada, Today: Conversations with Tameka Samuel-Jones, PhD and Audra Diptee, PhD
Bibliographic record
Abstract
What is the state of Caribbean Studies in Canada today? In the spring of 2023, Chevy Eugene—Caribbeanist scholar and activist and doctoral candidate in Social and Political Thought at York University—lamented The Crisis of Caribbean Studies in Canada. That conversation brought together emerging and established scholars and activists of the Caribbean in Canada to consider the contemporary question of Caribbean Studies. It served as an anchor for a series of conversations I had with scholars in the Canadian academy in the summer of 2023 on the state and future of Caribbean Studies.
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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 | 0.014 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.088 | 0.024 |
| Scholarly communication | 0.021 | 0.009 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.006 | 0.019 |
| Insufficient payload (model declined to judge) | 0.006 | 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".