Whiteness, Power and the Politics of Demographics in the Governance of the Canadian Academy
Bibliographic record
Abstract
Abstract The predominance of Whiteness, and the corresponding lack of representation of people who are both racialized and minoritized, in the governance of universities is a political issue. We present the results from an intersectional diversity audit of central and senior academic administrators at five Canadian universities: Simon Fraser University, University of British Columbia, University of Toronto, University of Victoria and York University. Our findings indicate that racialized men and women are hitting ceilings in the middle administrative ranks. Conversely, we find a notable overrepresentation of White men and women in the senior administrative ranks. Our analysis suggests that White women, unlike racialized women and men, no longer face serious barriers to representation within these senior ranks. These findings raise concerns about processes of racialization that may impede career progress for some but accelerate it for others. They raise concerns about the politics of who lifts whom into the echelons of academic decision making, which in turn has implications for justice, knowledge and social meanings of competency.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.024 | 0.012 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.001 | 0.004 |
| 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".