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Record W2145352818 · doi:10.1177/0264619612470651

Tango programme for individuals with age-related macular degeneration

2013· article· en· W2145352818 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 Visual Impairment · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Green Space and Health
Canadian institutionsMcGill University
Fundersnot available
KeywordsDanceDepression (economics)Quality of life (healthcare)Macular degenerationBalance (ability)Test (biology)PsychologyLow visionPopulationMedicinePhysical therapyGerontologyPhysical medicine and rehabilitationPsychiatryOptometryPsychotherapistArt

Abstract

fetched live from OpenAlex

Recent research shows that tango dance is an absorbing and effective strategy to reduce levels of depression, while also increasing well-being. This study investigates the feasibility, acceptability, and adherence to a tango programme for individuals with age-related macular degeneration (ARMD). Depression is closely intertwined with the ARMD diagnosis, since the loss of central vision has a profoundly negative impact on the person’s quality of life. Seventeen participants were randomised to tango dance (1.5 h, 2 times/week for 4 weeks) or wait-list control condition. Demographic questions and Visual Function Questionnaire were taken at pre-test. Self-rated symptoms of depression, self-esteem, and satisfaction-with-life were assessed at pre-test and post-test. Tango group participants showed significant reductions in depression and significantly increased satisfaction-with-life and self-esteem at post-test relative to the controls, and reported physical improvement, including increased balance. Tango dance was demonstrated to be a feasible and positive activity for this population.

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)0.000
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 score0.298
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.265
Teacher spread0.252 · 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