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Record W4378894512 · doi:10.1177/1089313x0100500402

And the Dance Goes On: Psychological Impact of Injury

2001· article· en· W4378894512 on OpenAlexaff
Lynda Mainwaring, Donna Krasnow, Gretchen Kerr

Bibliographic record

VenueJournal of Dance Medicine & Science · 2001
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsYork UniversityUniversity of Toronto
Fundersnot available
KeywordsDancePsychologyDistressCoping (psychology)PersonalityPhysical therapyMedicineClinical psychologySocial psychology

Abstract

fetched live from OpenAlex

This review provides a glimpse into the dancers psychological reaction to physical injury. Based on the current evidence, dancers’ reactions to injury involve initial negative affects that may become more positive as the injury heals. Dancers with chronic or overuse injuries are more likely to ignore the injury, sometimes to the point of more severe damage and psychological distress. There is evidence that the impact of injury may vary across different types of injury (acute, chronic, overuse, recurrent), individual differences in personality, levels of knowledge and available information about injury and recovery, and styles of coping and social support. Dancers continue to dance with injury, pain and discomfort, perhaps to avoid the “disruption of self” that emanates from injury, and perhaps because of the embedded subculture in dance that embraces injury, pain, and tolerance. Some implications of these findings for future research, teaching, and clinical practice are discussed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.037
GPT teacher head0.412
Teacher spread0.375 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations73
Published2001
Admission routes1
Has abstractyes

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