Launching off but Falling Fast: Experiences of Becoming More Physically Active in Response to the Vancouver 2010 Olympic Winter Games
Bibliographic record
Abstract
Using a qualitative approach, we sought insights into the nature of the relationship between a megasport event and increased activity levels in a sample of young adults living within a host nation. To achieve this purpose, we conducted semistructured interviews with current (and recently graduated) university students living in Canada who indicated becoming more active as a result of the Vancouver 2010 Olympic Winter Games. Through our thematic analysis, we identified three interrelated and overarching themes: connecting through engaged viewership; harnessing the connection; and launching off but falling fast. Connecting through engaged viewership refers to personal and meaningful connections participants made with the Olympic athletes they watched. The act of watching elite athletes compete appeared to inspire participants to make positive activity-related changes in their own lives. Harnessing the connection refers to supportive social and built environments, as well as access to particular resources that enabled participants to act on their inspired state. Launching off but falling fast refers to the intense, but fleeting, nature of changes to participants' activity levels. We conclude the article by discussing the significance of our findings in terms of research and practice.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".