Motivation, commitment, and intentions of volunteers at a large Canadian sporting event
Bibliographic record
Abstract
The purpose of this study was to examine volunteer motivation, commitment, and intentions to remain as volunteers at the 2005 BMO Canadian Women's Golf Championship. Volunteers (n = 647) responded to the Organizational Commitment Questionnaire (Mowday, Porter, & Steers, 1982), volunteer motivation questionnaire (Strigas & Jackson, 2003a), and qualitative questions regarding intention to remain volunteers. Results indicated that commitment was related to sport specific factors of the particular event; however, motivation to volunteer was associated with being part of the community. A number of factors and relationships between the variables and intentions to remain volunteering were identified. Descriptive statistics indicated that most of the volunteers intended to continue as golf volunteers (97.5%), would volunteer with other sport events (76.4%), and were likely to continue volunteering in general (83.3%). A variety of rationales were discussed. Understanding the factors that impact motivations and commitment, and the relationships between intentions and motivation/commitment to volunteer can help event organizers target volunteer recruitment and retention strategies.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 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) | 0.003 | 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".