Attachment moderates the effects of autonomy-supportive and controlling interpersonal primes on intrinsic motivation.
Bibliographic record
Abstract
Research on self-determination theory has established that the amount of autonomy support and control in a given situation can enhance or thwart intrinsic motivation. Meanwhile, research in social cognition has shown that people form relational schemas and that having schemas characterised by insecurity can compromise normative functioning. The present study examined how such insecurity, operationalized as attachment anxiety and avoidance, moderates the effects of priming an autonomy-supportive or controlling other on intrinsic motivation and persistence. Ninety participants were primed with either an autonomy-supportive or controlling authority figure and engaged in a novel picture-search task. Although individuals low in anxiety and avoidance responded to the primes as expected (decreasing intrinsic motivation and persisting less in the controlling-prime condition), participants high in anxiety and avoidance did not show the expected changes in intrinsic motivation in response to the primes, and participants high in anxiety responded to the controlling prime with increased persistence.
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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 | 0.003 |
| 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 | 0.001 | 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 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".