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Record W6982316293

Identifying and managing RED-S: What is the physiotherapist experience? A cross-sectional survey of Canadian physiotherapists

2023· article· en· W6982316293 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship@Western (Western University) · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsnot available
Fundersnot available
KeywordsSpecialtySurvey instrumentKnowledge levelConfidence intervalHealth professionalsSurvey data collectionMEDLINE
DOInot available

Abstract

fetched live from OpenAlex

Relative Energy Deficiency in Sport (RED-S) is a complex condition characterized by chronic low energy availability (LEA) affecting an athlete’s health and performance. A cross-sectional, mixed-methods survey was used to investigate Canadian Physiotherapists' (PTs) experience with RED-S. Sixty-nine PTs completed the survey which assessed participants’ knowledge of RED-S, their confidence in diagnosing and managing RED-S, their exposure to RED-S in clinical practice, and their education-related experience with RED-S. Participants scored an average of 25.1 (± 4.1), (71.7%) on the knowledge section of the survey, and an average of 32.7 (± 19.4), (51.1%) on the confidence-related section. There were no significant differences between the knowledge and confidence scores based on specialty (Sports, Women’s Health, Sports and Women’s Health, Orthopedics, Other). This survey demonstrated gaps in PTs knowledge of RED-S and their confidence in treating the condition. Canadian PTs expressed a need for concise educational resources to be made available regarding RED-S.

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 categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.665
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.003
Open science0.0010.000
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 head0.250
GPT teacher head0.435
Teacher spread0.185 · 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
Published2023
Admission routes1
Has abstractyes

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