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Record W3007289878 · doi:10.12678/1089-313x.24.1.3

Perspectives of Physical Therapists regarding the use and Value of Screening Assessments and Preventative Programs for Elite-Level Dancers

2020· article· en· W3007289878 on OpenAlex
Clare Morrison Kilburn, Hardeep Singh, Agnes Makowski, Kristin E. Musselman

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Dance Medicine & Science · 2020
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsToronto Rehabilitation InstituteUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsEliteMedical educationPsychologyStandardizationHealth carePopulationApplied psychologyMedicineNursing

Abstract

fetched live from OpenAlex

Inconsistency exists in research findings regarding the use and efficacy of screening assessments for elite-level dancers. The purpose of this study was to gain an understanding of physical therapists' perspectives on the use and value of screening assessments and preventative measures in this population in order to inform future research and clinical care. Semi-structured interviews were conducted with nine physical therapists with a caseload of at least 25% dancers aged ≥ 14 years and enrolled in a professional or pre-professional program (i. e., elite- level dancers). Transcribed interviews were analyzed using an Interpretive Description framework. A constant comparative analysis was used to identify similarities and differences among and within the data. Themes and categories were finalized after consensus among research team members. Resulting themes included the values, challenges, barriers, and opportunities of screening and preventative programs. Values extended beyond injury prevention to such matters as performance optimization, development of rapport, communication, and education. Challenges included a lack of research and support from dancers, artistic staff, and the traditional dance culture. Opportunities were seen for improved standardization and innovation of screening procedures. Recommendations to guide clinical practice and research represent an initial step toward improving implementation of screening and preventative programs, which may provide benefits to dancers' health and performance.

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.

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)0.001
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 score0.639
Threshold uncertainty score0.648

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.001
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 head0.153
GPT teacher head0.418
Teacher spread0.265 · 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