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Record W2085061420 · doi:10.1136/ip.2008.021386

Towards evidence-informed sports safety policy for New South Wales, Australia: assessing the readiness of the sector

2010· article· en· W2085061420 on OpenAlexaboutno aff
Rebecca C. Poulos, Alex Donaldson, Caroline F. Finch

Bibliographic record

VenueInjury Prevention · 2010
Typearticle
Languageen
FieldMedicine
TopicSports injuries and prevention
Canadian institutionsnot available
Fundersnot available
KeywordsOccupational safety and healthGovernment (linguistics)Public relationsGeneral partnershipStakeholderBusinessPoison controlPolitical scienceEnvironmental healthMedicineFinance

Abstract

fetched live from OpenAlex

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 …

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.109
metaresearch head score (Gemma)0.204
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.118
Threshold uncertainty score0.577

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1090.204
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0100.006
Science and technology studies0.0040.004
Scholarly communication0.0170.015
Open science0.0060.017
Research integrity0.0080.011
Insufficient payload (model declined to judge)0.0110.003

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.

Opus teacher head0.062
GPT teacher head0.414
Teacher spread0.352 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations25
Published2010
Admission routes1
Has abstractyes

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