Girls persist more but divest less from ineffective teaching than boys
Bibliographic record
Abstract
Teaching is the primary way children learn about the world. However, successful learning involves recognizing when teaching is ineffective, even in the absence of overt cues, and divesting from ineffective teaching to explore novel solutions. Across three experiments, we investigated 7- to 10-year-old children’s ability to recognize ineffective teaching; we tested the hypothesis that girls may be less likely than boys to divest by exploring new solutions, given documented gender differences in socialization toward conformity and obedience. Overall, we demonstrate that children independently tested taught solutions, and upon learning the solutions were ineffective, rationally traded-off between instruction and exploration. Simultaneously, gender differences in divestment emerged. On average, girls demonstrated greater persistence in applying the taught solution, while boys tended to explore their own ideas, leading to differences in solving and learning. Importantly, these differences were observable across both masculine- and feminine-stereotyped tasks. These results have important implications for children’s learning and the development of leadership.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".