Teaching Black Canada(s) Across Borders: Insights from the Caribbean and United States
Bibliographic record
Abstract
This article offers two unique and overlapping perspectives that explore the challenges and practices faced when teaching and researching Canada from the Caribbean and the United States. Acknowledging that curriculum, which ontologically and epistemologically influences the norms and values of the learning environment, is not a neutral document (Ross 2001, 1) the authors focus on how they enact curricula outside of Canada to discuss issues of rights and diversity as well as to challenge hegemonic narratives of white Canadian nation-building and historiography and ideas of Canada as a benevolent nation-state. Specifically, the authors examine (1) the ways in which assumptions about power and privilege play out in the classroom by either reinforcing or challenging established North/South relations; (2) how the black Canadian experience can be used to disrupt the U.S. black nationalist discourse and allow for an elaboration of the black or African Diaspora; (3) how dominant notions of gender, race and sexuality are articulated differently outside a Canadian landscape; and (4) Canadian-Caribbean relations when it comes to teaching and learning across borders through student exchange programmes.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.062 | 0.018 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.003 | 0.005 |
| 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".