Understanding the Sport Event Volunteer Experience: An Investigation of Role Ambiguity and Its Correlates
Bibliographic record
Abstract
The present study tested a theoretical model of the correlates of role ambiguity of major sport event volunteers. The sample consisted of 328 volunteers involved with the 2012 Ontario Summer Games. Participants completed an online questionnaire post-Games that included measures of role ambiguity, role difficulty, training, supervision, effort, performance, role satisfaction, overall satisfaction with the Games, and future volunteer intentions. The findings provide support for a multidimensional model of role ambiguity, consisting of performance outcome ambiguity and means-ends/scope ambiguity in this context. A final model indicated that perceived effective supervision was inversely associated with both dimensions of ambiguity, and they differentially predicted role effort, performance, and role satisfaction. Role performance and role satisfaction predicted overall satisfaction with the Games experience, which was significantly associated with future intentions to volunteer. Implications for sport event volunteer management and suggestions for future research are discussed.
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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 | 0.001 | 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".