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Record W1966581162 · doi:10.3390/socsci3040742

A Critical Examination of Child Protection Initiatives in Sport Contexts

2014· article· en· W1966581162 on OpenAlexaff
Gretchen Kerr, Ashley Stirling, Ellen MacPherson

Bibliographic record

VenueSocial Sciences · 2014
Typearticle
Languageen
FieldMedicine
TopicSports injuries and prevention
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsContext (archaeology)AthletesPsychologyChild protectionWork (physics)Poison controlDevelopmental psychologyPublic relationsPolitical scienceEnvironmental healthMedicineGeographyEngineeringNursing

Abstract

fetched live from OpenAlex

With the broadening of focus on child maltreatment beyond intra-familial settings, there is growing awareness of occurrences of maltreatment within the sport context. Millions of children participate in organized sport annually, and despite a tendency to view sport as a context by which to enhance the overall health and development of children, it is also a context in which children are vulnerable to experiences of maltreatment. The well-documented power ascribed to coaches, the unregulated nature of sport and a “win-at-all-costs” approach contribute to a setting that many propose is conducive to maltreatment. A number of high profile cases of sexual abuse of athletes across several countries in the 1990s prompted sport organizations to respond with the development of child protection measures. This study examined seven child protection in sport initiatives in terms of the extent to which they originated from research, had content that was consistent with scholarly work and were evaluated empirically. The findings indicated that these initiatives were not empirically derived nor evaluated. Recommendations are made to more closely align research with these initiatives in order to protect children and to promote a safe and growth-enhancing experience for young participants in sport.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.784
Threshold uncertainty score0.112

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.025
GPT teacher head0.355
Teacher spread0.330 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations49
Published2014
Admission routes1
Has abstractyes

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