It's all good: Children's personality attributions after repeated success and failure in peer and computer interactions
Why this work is in the frame
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Bibliographic record
Abstract
The present study examined children's use of behavioural outcome information to make personality attributions in social and non-social contexts. One hundred and twenty-eight 3- to 6-year-olds were told about a story actor who engaged in primarily successful or primarily unsuccessful interactions with several different people (social context) or several different computers (non-social context). Subsequently, children made behavioural predictions and trait attributions about the actor. Findings indicated that participants were more likely to use past information to make behavioural predictions and trait attributions when hearing about primarily successful than primarily unsuccessful interactions, although there were age-related differences in trait attribution as a function of success and trait type. There was no support for differential use of information across contexts, as participants' predictions and attributions were similar regardless of hearing about interactions with computers or humans. Factors involved in the development of impression formation are discussed.
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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 | 0.000 | 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 | 0.000 |
| 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 it