Large-scale sport events and well-being: Exploring residents’ pre-event perspectives
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
Large-Scale Sport Events (LSSE) are increasingly contested as host cities balance the benefits and costs of these events. Residents are a stakeholder group heavily impacted by LSSE given their rootedness in the host city over the event lifecycle spanning: bid submission, awarding of host rights, pre-event planning, event delivery, post-event shutdown and beyond. Yet, limited focus has been placed on understanding residents' perceptions of LSSE impacts in the pre-event period. Twenty-seven semi-structured interviews, guided by Seligman’s (2011) PERMA framework, were conducted with Australian residents in 2023 FIFA Women’s World Cup host cities. Findings demonstrated how four PERMA domains (positive emotions, relationships, meaning and accomplishment) were activated. Findings advance understanding of how LSSE can positively impact residents in a phase of the event lifecycle when event organisers and host governments are often not yet actively engaging with this key stakeholder group. Key theoretical and practical implications are discussed.
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