Motivation, commitment, and intentions of volunteers at a large Canadian sporting event
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 it