Introducing Uninteresting Tasks to Children: A Comparison of the Effects of Rewards and Autonomy Support
Bibliographic record
Abstract
Two experiments compared rewards and autonomy support as methods to promote children's self-regulation for an uninteresting vigilance task. Dependent measures were ratings of positive affect, perception of the task's value, and free-choice engagement. ANOVA results revealed some positive effects associated with autonomy support, whereas no effect for rewards was found in either study. The outcomes of most interest were correlations between free-choice behavior and self-reported measures of affect and value, reflecting the level of integration in self-regulation. As predicted by self-determination theory (Deci & Ryan, 1985, 1991, 2000), rewards were associated with behaviors incongruent from affect and value, whereas autonomy support led to integrated self-regulation. This finding was first detected in Study 1 and later replicated in Study 2. Together, these results point to autonomy support as a beneficial alternative to the common use of rewards.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".