The Predictive Utility of Past Success: Skill and Chance in Children's Theory of Performance
Bibliographic record
Abstract
Success at a skill-based activity shows that a person is competent and likely to succeed again in the future. Success at a pure-chance activity, by contrast, does not imply competence or future success. In two experiments, we investigated children's developing understanding of how skill- and chance-based activities differ in relation to competence. In both experiments, children aged 4-7 (total N = 279) saw skill- and chance-based activities and judged whether a person who had previously succeeded with each activity would succeed when next attempting it. From Age 5, children were more likely to see past success as predictive of future success for skill- than chance-based activities. The second experiment also looked at judgments about agents who had previously failed and found that children at all ages predicted future success similarly regardless of whether activities involved skill or chance alone. This experiment also included a sample of adults (N = 202), and found their responses were overall comparable to those of 7-year-olds. Together, these finding are informative about development in children's reasoning about the predictive utility of past success, and potentially about their theory of performance-their understanding of factors that determine whether agents are likely to succeed. The findings provide preliminary evidence for development in this theory at Age 5 while also showing that its development is protracted. SUMMARY: We examined how 4-7-year-olds distinguish between chance- and skill-based activities. From Age 5, children saw past success as more predictive of future success for skill-based activities. Children at all ages saw past failure as similarly predictive for both types of activities. Our findings suggest change in children's theory of performance at Age 5, while also revealing further improvements to Age 7.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".