The Role of Sport Involvement on Residents’ Evaluation of Youth Olympic Games Benefits, Quality of Life, and Event Support
Bibliographic record
Abstract
Abstract The study aimed to examine how host city residents’ sport involvement influences certain psychological concepts such as involvement with mega-events, evaluation of event benefits, community quality of life (CQoL), and ultimately event support. Data were collected from an online resident panel from the two host cities of the 2016 Youth Olympic Games (YOG) using a web survey with 294 subjects. Structural equation modeling was used to test the study's six hypotheses. The results supported the proposed model indicating the influential role of sport involvement on the psychological involvement with the YOG, which subsequently positively influenced the evaluation of YOG benefits, which in turn increased residents’ CQoL and event support. YOG involvement fully mediated the relationship between general sport involvement and YOG benefits. The findings contribute to involvement and social exchange theories by shedding light on the variables that enhance mega-event resident support and quality of life.
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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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".