Social Learning Under Conditions of Uncertainty From Own- and Other-race Informants
Bibliographic record
Abstract
<p>Children's predominant exposure to own-race adults during the first year leads to an increased ability to distinguish own-race compared to other-race faces (Kelly et al., 2007). Previous research has examined the perceptual effects of this asymmetrical face exposure in infancy (Quinn et al., 2002; Rennels & Davis, 2008; Sugden, Mohamed-Ali, & Moulson, 2014) and when children start to use group-level characteristics to guide social learning (Buttelmann et al., 2013). Little research in young children has investigated the cognitive and social consequences of this 'other-race effect'. Thirty-two White and Black 3-year-olds and their parents participated in one 20-minute session consisting of a "demonstration phase" and a "test phase". Results revealed that children did not prefer to learn from adults that were 100%, as compared to 55%, accurate. Children also did not prefer to learn from own-race, as compared to other-race, adults. Results, limitations, and future directions are discussed.</p>
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".