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Record W4403333902 · doi:10.1177/1089313x241288998

An Update on the Six Recommendations from the 2012 IADMS Standard Measures Initiative: Assessing and Reporting Dancer Capacities, Risk Factors, and Injuries

2024· article· en· W4403333902 on OpenAlex
Sarah Kenny, Janine H. Stubbe, Chris T V Swain, Joshua Honrado, Claire E. Hiller, Marijeanne Liederbach

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 · 2024
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsDanceProtocol (science)Sports medicineMedicineMusculoskeletal injuryPsychologyApplied psychologyPhysical therapyAlternative medicinePathology

Abstract

fetched live from OpenAlex

INTRODUCTION: In 2012, the Standard Measures Consensus Initiative (SMCI) of the International Association for Dance Medicine and Science (IADMS) presented 6 recommendations regarding dance injury surveillance, definitions of injury and exposure, dance-specific screening, risk reduction strategies, and collaborative data management. The aim was to standardize risk factor measurement and injury reporting by researchers in dance medicine and science. Since then, numerous reports on the recording and reporting of injury data in sport and performing arts have been published. METHODS: IADMS commissioned SMCI to update the 2012 recommendations, a process that involved 3 stages: (1) current field experts were invited to join SMCI, (2) SMCI members reviewed recent and relevant sport and performing arts literature, then drafted, discussed, and revised section updates, (3) IADMS invited individuals representing diverse backgrounds in the IADMS community to critically review drafted updates. The final update serves as a bridge from the 6 recommendations in the 2012 report to the current state of evidence. RESULTS: We continue to encourage use of dance injury surveillance systems and support that surveillance protocols be fit-for-purpose, and that failure to use clear and consistent injury definitions perpetuates a lack of rigor in dance injury research. Based on new evidence, we recommend that some aspects of injury surveillance be self-reported, that the choice of dance exposure measures be dependent on the research question, contextual factors, and type of injury/health problem(s) of interest, and that studies using dance-specific screening articulate specific objectives, validity, and reliability of each protocol. CONCLUSIONS: Future studies should focus on the development, implementation, and evaluation of strategies to minimize injury risk to improve consistency and rigor in data collection and research reporting on the health and wellness of dancer populations, thus facilitating a future dance injury consensus statement similar to recent statements published for sports and circus arts.

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)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.322
Threshold uncertainty score0.923

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.001
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 head0.111
GPT teacher head0.405
Teacher spread0.294 · 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