Children's Attitudinal and Behavioural Explicit Racial Bias and Its Reduction
Bibliographic record
Abstract
This thesis explored the reduction of children’s intergroup bias. Part one of the thesis tested whether a multiethnic sample of Canadian children aged 4-12 years showed explicit preference for white over black race in their trait attributions and hypothetical interactions. Results showed evidence for pro-white preference, with younger children and nonwhite children showing higher pro-white bias. Part two of the thesis showed that explicit racial bias was the most consistent predictor of children’s prosocial sharing with recipients of both races as compared to age, gender and contact measures, and was a likely indicator of general prosocial development. Children across ages prioritized self-interest over sharing with others. Part three demonstrated that exposure to positive counterstereotypical black exemplars reduced children’s overall pro-white preferences but had no effect in increasing prosocial behaviour. Results suggest that information-based interventions can be successful at reducing explicit intergroup bias when contact opportunities are limited or insufficient.
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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 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".