Evidence of a Social Legacy from Volunteering at the Sochi 2014 Olympic and Paralympic Winter Games
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
Mega-sport events, like Olympic and Paralympic Games, typically promise host communities that beneficial legacies will remain beyond the life of the event; however, there is little postevent research supporting these claims. Conducted 3 years after the Sochi 2014 Olympic and Paralympic Winter Games, this research is one of few to explore the social legacy of volunteerism following an Olympic and Paralympic Games. A previously developed anonymous online survey was distributed via the event's 26 volunteer centers. Analysis included principal components analysis and independent samples t tests. The results demonstrate that social legacies can be achieved, albeit at a level lower than may be indicated by surveys conducted at the time of the event. By being strategic in their recruitment and training of volunteers, future mega-sport event organizers may be more effective in achieving social legacies, in sport, events, and tourism, that add to a host community's social and human capitals.
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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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