The Volunteer Experience in a Para-Sport Event: An Autoethnography
Bibliographic record
Abstract
Sport event volunteers have predominantly been examined in able-bodied events using quantitative methods. Studies examining the volunteer experience have focused on its relationship with different constructs, resulting in a siloed body of literature in which a holistic understanding of the volunteer experience remains poor. The purpose of this study was to explore the relationships between key constructs (satisfaction, motivation, commitment, and sense of community) and the first author’s (E.L. Lachance) volunteer experience in a para-sport event. The analysis of the narrative using a volunteer experience conceptual framework composed of the key volunteer constructs identified two themes: (a) the power of sense of community and (b) the volunteer role as a source of dissatisfaction. Contributions include the volunteer experience conceptual framework and the relationships between the four constructs and the volunteer experience. Event managers should implement strategies to create a strong sense of community to enhance their volunteers’ experience.
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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 | 0.002 | 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 | 0.001 | 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".