White Privilege Awareness and Efficacy to Reduce Racial Inequality Improve White Americans’ Attitudes Toward African Americans
Bibliographic record
Abstract
Two experiments examined effects of heightened awareness of white privilege (illegitimate advantages held by White Americans) and efficacy to reduce racial inequality on White American college students’ attitudes toward African Americans and White Americans. Efficacy to reduce inequality was either measured (Experiment 1) or manipulated (Experiment 2), and heightened white privilege awareness (WPA) was either manipulated (Experiment 1) or held constant (Experiment 2). All participants, except control participants in Experiment 1, read a passage describing their university's under‐representation of African American faculty. Afterward, they wrote letters in support of hiring more African American faculty and were told there was either a 95% or 5% chance their actions would be effective (Experiment 2) or were simply thanked and their perceived efficacy concerning change measured (Experiment 1). Heightened WPA and higher efficacy (measured and manipulated) independently improved participants’ attitudes toward African Americans, but had no effect on their attitudes toward White Americans.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".