Guilty Displeasures: White Resistance in the Social Justice Classroom
Bibliographic record
Abstract
In this article, the author reflects on the challenges of teaching white law students about racism and white privilege as a racialized professor. To situate her experiences and to better understand the obstacles that professors who teach critically about race and racism confront, she draws from theories of racial identity development and research on student evaluations to contextualize student responses to anti-racist pedagogy. Grappling with racism in a meaningful way leaves many white students feeling distraught, angry and guilty, among other unpleasant emotions. Professors who initiate these discussions become the natural targets of criticism and blame as students struggle with their discomfort. The hostility of resistant white students can be interpreted as racial microaggressions that compromise the psychological well-being and deplete the emotional and physical resources of racialized professors. However, understanding negative student reactions in the context of structural racism and embracing students’ sense of disequilibrium as a necessary part of social transformation enable professors to reconceptualize personal attacks as something more constructive. The author concludes that teaching about racism and white privilege in a critical way, an obligation shared by all educators, offers personal and collective rewards that outweigh any costs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".