Can culture shape the identity of a sport? A case study on lifesaving sport - Surf Lifesaving Australia and Lifesaving/Sauvetage Canada
Bibliographic record
Abstract
Sport is an important marker of our country's culture and identity. Citizens within a country will cheer and support their sport teams if they are successful, or criticize and judge if they are doing poorly. The importance of culture within sport is an important indicator of a country's success or failure within international competitions; such as the Olympics and World Championships. However, can culture shape the identity of a sport within a country?\nLifesaving is a vital aspect of a country's swim program, as it focuses on reducing injury and death in, on, or around the water. Within Lifesaving, there has been a creation of a sport called Lifesaving Sport, which focuses on youth leadership, participation, and sport development. The creation of this sport became to fruition due to the focus on improving a lifesaver or lifeguard skills through simulated emergency response sporting activities.\nIn Australia, Lifesaving Sport is ranked as one of the top participation sports within the country with more than 10,000 competitors competing at their National Championships; the number of competitors is more than that of the Commonwealth Games. WIthin this country the sport has secured corporate sponsors, their major competitions are live on free-to-air television, they have partnerships with government sport agencies such as the Australian Sport Commission (ASC) and the Australian Institute of Sport (AIS), the operations of the sport is being run by professional employees. In Canada, there is no accurate statistics on the participation rate within the sport as there have been no implementation of a statistical program to measure it, it is stipulated in the constitution of the sport's National Sport Organization (NSO) that only volunteers are allow to manage the sport. There is minimum media coverage, and Sport Canada, the Canadian government sport funding agency, does not recognize Lifesaving Sport as a sport.\nThe purpose of the research is to see if a framework can be created on the variables of identity and culture, and to significantly come up with a definable answer if culture can shape a sport identity to make it more popular or decrease its popularity. This research is on-going and shows an interesting parallel of the differences of the same sport within two different countries. Through preliminary research, the culture has been a main indicator as to why there are differences. The research is aim to focus on: How important is culture within sport and physical activity and to NSOs? Can we measure the correlation of culture and the identity of the sport? Can we use culture to shape a sport identity to make it more popular?
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.035 | 0.009 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".