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Record W2069143929 · doi:10.1080/j148v17n03_01

Effectiveness of Tai Chi as a Therapeutic Exercise in Improving Balance and Postural Control

2000· article· en· W2069143929 on OpenAlex
Wendy Chan, Doreen J. Bartlett

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

VenuePhysical & Occupational Therapy In Geriatrics · 2000
Typearticle
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsWestern University
Fundersnot available
KeywordsBalance (ability)Physical therapyPhysical medicine and rehabilitationMedicinePsychology

Abstract

fetched live from OpenAlex

Tai Chi (TC) is an ancient form of meditative exercise used to improve and maintain good health. To determine whether TC is effective in improving balance, a meta-analysis of the published literature was completed. Two investigators independently identified articles by searching 4 databases using the keywords: Tai Chi, balance, and postural control. Seven eligible articles were evaluated using a score-sheet that quantifies methodologic rigor developed by the investigators for this study; scores ranged from 33 to 43 (out of a maximum score of 49). For each article, the effect size of each outcome measure was quantified using the d-index (d). The mean d of measures corresponding to static conditions, internal perturbations, and external perturbations were -0.07 Q0.37, 1.52 []1.13, and 0.04 []0.40 respectively. Pearson's r between d and the score was []0.70, indicating a strong negative correlation between effect size and methodologic rigor. There is moderate research-based evidence to support the use of TC to improve balance and postural control as measured by responses to internal perturbations.

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 score0.208
Threshold uncertainty score0.578

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)0.0000.000

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 head0.017
GPT teacher head0.358
Teacher spread0.341 · 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