Black Male Teachers as Role Models: Resisting the Homogenizing Impulse of Gender and Racial Affiliation
Bibliographic record
Abstract
This article reports on research with one Black male elementary school teacher in Toronto and draws on feminist, queer, and antiracist analytic perspectives to raise important questions about the discourse of teachers as role models. The voice of this teacher is used to challenge discourses about role modeling in their capacity to address adequately the limits imposed by both cultural and structural problems experienced by minority boys in urban school communities. Important questions about the role of teachers as transformative or organic intellectuals are also raised. A case study approach is employed to draw attention to both important pedagogical issues and the limits of role modeling as a conceptual framework that continues to be used to support generalizable claims about the influence of male teachers on the basis of their gender and racial affiliation with boys in schools. What is required, the authors conclude, is a disarticulation and, hence, a separating out of role modeling from a discussion about the need for a greater representation of minority teachers in urban schools.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.018 | 0.025 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".