Sport Mega-Event Volunteers' Motivations and Postevent Intention to Volunteer: The Sydney World Masters Games, 2009
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
Investment in mega-sport events is frequently justified on the basis that there are infrastructure and social legacies that remain after the event. This research explores the claims of a social legacy through a pre- and post-Games survey of volunteers at the Sydney world Masters Games 2009 (SwMG). Through online surveys the research explores pre-and post-volunteer motivations, postevent volunteering intentions before the Games and actual volunteer behavior after the Games. The pre-Games survey supports previous research that a desire to be involved in the event motivates people to volunteer. however, the postevent expression of motivations shifted to a more altruistic focus. The postevent volunteering intentions as indicated in the preevent survey would support the claim of a social legacy; however, this was not supported by the postevent measures of volunteering levels. The use of a pre- and postevent survey has highlighted that the timing of measures of motivations can influence responses and one may not depend on preevent intentions as an indicator of postevent behaviors.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it