The Contested Academy: African Canadian Women’s Experiences as Tenured, Tenure Stream and Non-tenured Faculty
Bibliographic record
Abstract
This thesis explores the experiences of Black women who are in tenured, tenure-stream, and non-tenured faculty positions and presents how Black women negotiate their intersectional identities in the academy. The study documents their self-identifications and struggles with the academy in terms of power relations in their respective universities, including racial and sexual discrimination. In addition, the study explores the career paths of Black women faculty from contract faculty to full professor. Methodologically, the study uses Black Feminist theorizing along with autoethnography in order to explore the nature of the experiences of Black Canadian women faculty within the academy. I interviewed 13 self-identified Black women across Canadian universities, including myself as the fourteenth key informant. This study reveals a complex and rich text of how Black women see themselves in the university, their experiences with multiple and overlapping oppressions and how this affects their careers, and finally, their contributions to the academy and their visions of success.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.083 | 0.022 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 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".