Beyond the host nation: an investigation of trickle-down effects in the ‘Hometowns’ of Canadian athletes who competed at the London 2012 Olympic 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
Research question Can evidence of trickle-down-effects be observed among youth living in the hometowns of Canadian athletes that competed and/or won medals at the London 2012 Olympic Games?Research methods Leisure-time physical activity (LTPA) rates of male and female youth were extracted from the Canadian Community Health Survey (n > 1,000,000) for 110 health regions during the pre-Olympic (2009/2010), Olympic (2011/2012), and post-Olympic (2013/2014) year periods. The health regions were treated as panel units and, beyond Canadian athletes and medallists, the panel data analysis incorporated population size and previous Olympic hosting as control variables in the model.Results and findings The panel analysis revealed that the number of Canadian athletes representing youths’ hometowns at the London 2012 Olympic Games was negatively associated with LTPA rates when considering the full sample of youth, and male youth in particular. Interestingly however, winning medals (of any colour) was positively associated with hometown LTPA rates among the full sample of youth and male youth. Hometown population size was negatively associated with LTPA rates for the full sample of youth and female youth specifically. Winning a gold medal and hosting previous Olympic/Paralympic Games were not significantly associated with hometown LTPA rates when considering the full sample of youth or male and female youth separately.Implications Our study demonstrates a need for researchers and sport managers to consider the spatial reach and scope of trickle-down-effects beyond that which can occur within a host nation. These effects have the potential to be a global phenomenon.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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 it