Distinguishing Source of Autonomy Support in Relation to Workers' Motivation and Self-Efficacy
Bibliographic record
Abstract
The purpose was to investigate the relationship between autonomy support by managers and co-workers and employees' work motivation and self-efficacy in two studies. In Study 1, a sample of 343 Swedish workers completed surveys, and in Study 2, we followed up with a subsample of 98 workers one year later. As in previous studies, managers support of autonomy was significantly positively related to workers' outcomes. However, the results of Study 1 also showed that co-worker autonomy support was related to these outcomes over and above the effects of manager support. Study 2 showed that changes in autonomy support from co-workers during one year significantly predicted motivation and self-efficacy one year later, while change in support from managers was unrelated to outcomes later. These findings provide evidence for the importance of both vertical and horizontal sources of support.
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How this classification was reachedexpand
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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".