Longitudinal examination of the psychosocial costs of racism to Whites across the college experience.
Bibliographic record
Abstract
This longitudinal investigation adds to the growing body of scholarship on the psychosocial costs of racism to Whites, which refer to the consequences of being in the dominant position in an unjust, hierarchical system of societal racism. We examined how White students' affective costs of racism (i.e., White empathy, guilt, and fear) changed across the college experience and how gender, colorblind racial ideology, and diversity experiences were associated with those costs. Findings indicated that White empathy, guilt, and fear each had a distinct trajectory of change across the college experience. Moreover, patterns of change for each cost were moderated by colorblind racial attitude scores at college entrance. We also found that participation in college diversity experiences (e.g., diversity courses) was associated with the costs; moreover, different types of diversity experiences were linked to particular costs. These findings provide insight into the affective experiences of White students across college and thus may be useful to counseling psychologists and educators who design and implement programs and policies to enhance diversity education.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".