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Record W2096319570 · doi:10.1136/bjsm.2009.067751

Psychological predictors of injuries in circus artists: an exploratory study

2010· article· en· W2096319570 on OpenAlex

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

VenueBritish Journal of Sports Medicine · 2010
Typearticle
Languageen
FieldMedicine
TopicMusicians’ Health and Performance
Canadian institutionsJewish General Hospital
Fundersnot available
KeywordsMedicinePsychologyVisual artsArt

Abstract

fetched live from OpenAlex

OBJECTIVES: To explore the relationship between potential psychological risk factors and injury risk in circus artists. DESIGN: Historical cohort study. SETTING: Cirque du Soleil training programme. PARTICIPANTS: Forty-seven circus artists training to become Cirque du Soleil artists. ASSESSMENT OF RISK FACTORS: Artists completed the validated REST-Q questionnaire (19 domains) during their first 2 weeks of training. MAIN OUTCOME: Injury risk ratio. RESULTS: Of the five a priori exposures of interest, injury, emotional exhaustion, self-efficacy and fatigue were associated with an increase in injury risk (risk ratios between 1.8 and 2.8), but Conflicts/Pressure was not (risk ratio=0.8). Of the several specific psychological aspects that are considered risk factors for injury, low self-efficacy had the strongest relationship. CONCLUSIONS: Most of the strong psychological risk factors for injuries previously identified in athletes also appear to be risk factors in circus artists.

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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.176
Threshold uncertainty score0.822

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.330
Teacher spread0.305 · 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