Towards evidence-informed sports safety policy for New South Wales, Australia: assessing the readiness of the sector
Bibliographic record
Abstract
Policy-related interventions can contribute significantly to successful public health action.1 However, inadequate health promotion policy can result in: poor stakeholder engagement; responsibility division across government; short-term funding and unsustainable programmes; haphazard resource development and distribution; mixed messages; information overload; and a lack of standardised guidelines.2 The need for safety policy in sport is well recognised, and there has been a recent call for global attention to the development of sports safety policy to ensure significant safety gains are made for all.3 This call has highlighted the need to better integrate the efforts of governments (particularly health departments) and sporting organisations, and to improve the sports safety “science to policy” interface. There are few examples of the development of national and state/provisional overarching sports safety policies, regulations, or strategic plans. In Quebec, Canada, the government adopted the Act Respecting Safety in Sport in 1979 and established the Quebec Sports Safety Board with responsibility for “supervising personal safety and integrity in the practice of sports”.4 The Quebec Sports Safety Board coordinates provincial sports safety activities, particularly focusing on developing and implementing safety standards in partnership with sports federations. In New Zealand, the Accident Compensation Corporation has established the SportSmart national sports injury prevention programme to systematically reduce and eliminate avoidable injuries by implementing and monitoring specific strategies.5 In Australia, sports injury prevention has been on the national health policy agenda to varying degrees since 1994,6 but policy progress has been limited, and primarily focused on “micro policy” covering single issues (eg, drugs in sport, pregnancy, portable soccer goals, etc)7 8 or specific to individual sports, such as football codes.9 10 In 1995, the Australian Sports Injury Prevention Taskforce was established, leading to the development of the Australian Sports Safety Framework in 1997,11 and …
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".