Against the “Likewise” and toward the “Otherwise”: Lessons from the Past, Reflections for the Present in the Context of Canadian Universities’ Commitments to Address Anti-Black Racism
Bibliographic record
Abstract
This article turns to Sylvia Wynter’s writings to understand the ways in which the normative functioning of the Canadian university—its Likewise pedagogies—are always already grounded in the overrepresentation of (white Western) Man as synonymous with humanity such that Black and Indigenous lives are negated. It uses this analysis to understand what is at stake for Black communities in universities’ institutional claims to address anti-Black racism in the post–George Floyd moment. It then turns to a meditation on the foundations upon which Otherwise pedagogies—broadly defined as the work meant to disrupt the Likewise pedagogical project of the university and its role in perpetuating the coloniality of being—might be conceived, even if only as interim measures, to pursue a vision for teaching, learning, and knowing otherwise within institutions that have characteristically resisted becoming otherwise.
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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 | 0.011 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.060 | 0.072 |
| Scholarly communication | 0.016 | 0.007 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.005 | 0.011 |
| 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".