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Record W2338596816 · doi:10.3109/02703181.2015.1128510

Impact of the Number of Steps on the Fukuda Stepping Test in Older Adults

2016· article· en· W2338596816 on OpenAlex
Nicole Paquet, Deborah A. Jehu, Yves Lajoie

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 · 2016
Typearticle
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsIntraclass correlationTest (biology)Reliability (semiconductor)Step testStandard errorMedicineStatisticsPsychologyPhysical therapyMathematicsReproducibilitySignificant difference

Abstract

fetched live from OpenAlex

Aims: This study aimed to compare performance, within-subject variability and test–retest reliability between the 50-step and 100-step Fukuda test in healthy older adults. Methods: Fifty participants aged between 65 and 75 years performed three trials of both the 50- and 100-step tests on two separate sessions seven days apart. Their final foot position was measured relative to the starting line. Results: Absolute values of body rotation and lateral and longitudinal displacements were significantly larger on the 100-step than on the 50-step test. The mean standard deviations of these measures on the three trials were significantly larger on the 100- compared to the 50-step test, indicating larger within-subject variability. Intraclass correlation coefficients were similar for both tests, suggesting comparable test–retest reliability. Conclusion: The 50-step test is recommended over the 100-step as it may have reduced measurement error.

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)0.000
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 score0.014
Threshold uncertainty score0.242

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.036
GPT teacher head0.402
Teacher spread0.366 · 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