The Experience of Black Faculty Members in Academia
Bibliographic record
Abstract
Abstract: The experiences of Black faculty members in Canadian universities have not been adequately explored and given the attention needed. Employing an exploratory descriptive design, we interviewed five Black faculty members in a mid-sized university in Western Canada and used thematic analysis and critical race theory to gain deeper understanding of the participants' experiences. Findings revealed that most participants have positive feelings despite overt or covert experiences of racism. The most significant highlight was the covert power struggle in the setting particularly between Black faculty members and students, and Black faculty members and some of their colleagues. The empathy and support from some deans, colleagues, and staff, along with resources in the university, have helped participants to remain in their position, make their presence known as professors and succeed in their work. Participants' key coping strategies were faith in God, resilience, and hard work. Many participants shared that mentorship and training on responding to students' evaluations will be beneficial in retaining Black faculty members, which will, overall, increase the number of Black students in Canadian universities. Résumé: Les expériences des professeurs noirs dans les universités canadiennes n'ont pas été suffisamment étudiées et n'ont pas reçu l'attention nécessaire. À l'aide d'un modèle descriptif exploratoire, nous nous sommes entretenus avec cinq professeurs noirs dans une université de taille moyenne de l'ouest du Canada et nous avons utilisé l'analyse thématique et la théorie critique de la race pour mieux comprendre les expériences des participants. Les résultats ont révélé que la plupart des participants ont des impressions positives malgré des expériences de racisme manifeste ou implicite. Le fait le plus marquant a été la lutte de pouvoir dissimulée dans le milieu, en particulier entre les professeurs noirs et les étudiants, et entre les professeurs noirs et certains de leurs collègues. L'empathie et le soutien de certains doyens, des collègues et des membres du personnel, ainsi que les ressources de l'université, ont aidé les participants à rester à leurs postes, à se faire connaître en tant que professeurs et à réussir dans leur travail. Les principales stratégies d'adaptation des participants sont la foi en Dieu, la résilience et le travail acharné. De nombreux participants ont indiqué que le mentorat et la formation sur la façon de répondre aux évaluations des étudiants permettraient de retenir les professeurs noirs, ce qui, dans l'ensemble, augmenterait le nombre d'étudiants noirs dans les universités canadiennes.
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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 | 0.009 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.051 | 0.017 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".