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Record W6920958118 · doi:10.6084/m9.figshare.7014974

Perspectives on pre-participation cardiovascular screening in young competitive athletes: U SPORTS

2018· article· en· W6920958118 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2018
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Effects of Exercise
Canadian institutionsnot available
Fundersnot available
KeywordsAthletesDiscretionSports medicineAthletic trainingSurvey researchSurvey instrument

Abstract

fetched live from OpenAlex

<b>Objectives</b>: To investigate the pre-participation cardiovascular screening (PPS) protocols currently implemented at U SPORTS (the governing body of university sport in Canada) sanctioned schools as well as the attitudes toward PPS as reported by Canadian University medical and athletic personnel. <b>Methods</b>: A 15-question survey was sent to the U SPORTS athletic directors in both French and English. The survey focused on the current practices of PPS within the respondents’ universities as well as attitudes regarding PPS. Athletic directors distributed the instructions to participate in the voluntary survey at their own discretion to coaches, athletic therapists, physicians, and associated personnel working within U SPORTS-sanctioned schools. <b>Results</b>: Twenty-three athletic therapists, 12 coaches, 6 physicians, and 5 associated personnel completed the survey (46 in total). Half of the respondents (52%) reported that some form of PPS was conducted at their institution. Eighty percent of respondents agreed with the implementation of mandatory PPS, and 60% reported that they believe their athletes have a neutral attitude toward PPS. Three respondents documented having witnessed an athlete’s sudden cardiac arrest/death. <b>Conclusion</b>: Members of the athletic care teams at U SPORTS-sanctioned schools display an overall positive attitude toward the implementation of mandatory PPS. Based on concerns raised by survey respondents, PPS procedures would need to be developed in a time- and cost-effective manner if PPS were to be expanded.

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)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.844
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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)0.0140.000

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 head0.022
GPT teacher head0.286
Teacher spread0.264 · 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.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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