Multidimensional Role Ambiguity and Role Satisfaction: A Prospective Examination Using Interdependent Sport Teams
Bibliographic record
Abstract
This study examined the prospective relationships between multidimensional role ambiguity and role satisfaction using interdependent sports teams. Midseason perceptions of role ambiguity and role satisfaction were recorded by 246 British secondary school rugby (n= 156) and field hockey (n= 90) players. One month later, role satisfaction was assessed again, along with a measure of dispositional negative affectivity. After controlling for the influence of negative affectivity and midseason role satisfaction, midseason role ambiguity explained significant variance in late‐season offensive and defensive role satisfaction. Findings support a prospective relationship between role ambiguity and role satisfaction, as predicted by theory (Kahn et al., 1964), and underscore the necessity of controlling for “third” variables. From an applied perspective, results also highlight the importance of ensuring that role ambiguity is avoided within interdependent sports teams.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".