Navigating Academic Leadership Hierarchy: Exploring Black Male Faculty Members’ Advancement to Senior-Level Leadership Positions in Ontario Universities
Bibliographic record
Abstract
The purpose of this study was to explore how Black male faculty members navigated the academic leadership hierarchy to attain senior-level leadership in Ontario universities. The literature highlighted the underrepresentation of Black male faculty members in senior-level leadership, the product of racial inequities and discrimination despite institutional commitments to equity in Canadian universities. Critical race theory (CRT) underpinned this study and acted as a vehicle to understand the impact of racism, anti-Black racism and oppression on Black men who aspired to leadership positions in academia. Inevitably, this study documented ways to disrupt and dismantle systemic racism that impeded the advancement opportunities of Black male faculty members in senior-level leadership in academia. Interviews with 11 Black male faculty members in senior-level leadership revealed that Black men experience major barriers/challenges in academia but were able to successfully advance into senior-level leadership because of numerous navigating strategies they employed.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| 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".