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Record W4297818284 · doi:10.33790/jrpr1100134

Initiation of Body Segment Reorientation in Steering is not Altered While Dual Tasking

2022· article· en· W4297818284 on OpenAlexaff
V. N. Pradeep Ambati, Guillermo Escalante, Fabricio Saucedo, Rebecca J. Reed-Jones, Ivy Garcia-Guevara

Bibliographic record

VenueJournal of Rehabilitation Practices and Research · 2022
Typearticle
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsUniversity of Prince Edward Island
FundersUniversity of Texas at El Paso
KeywordsHuman multitaskingDual (grammatical number)CognitionTrunkTask (project management)Young adultPhysical medicine and rehabilitationPsychologyEffects of sleep deprivation on cognitive performanceDevelopmental psychologyMedicineNeuroscienceBiologyEngineering

Abstract

fetched live from OpenAlex

Changing the direction of locomotion, often referred to as “steering”, is an integral component of human locomotion. This study sought to investigate the role of cognition in steering using a dual task paradigm in healthy young and healthy older adults. Twenty-five healthy young adults and nineteen healthy older adults completed a 900 walking turn at a comfortable pace under single and dual task conditions. Dependent variables included the time taken to turn and the turn onset of the head, trunk, and pelvis segments. Results indicate dual tasking increases the time taken to turn but does not alter the sequence of initiation of segment reorientation into the turn. The effects of aging on these behaviors were minimal. Most notable was that the older adults did not slow their turns as much as the young adults did during dual tasking. These results suggest that initiation of segment reorientation is independent of cognitive influence but that increased cognitive load is considered when planning movement time.

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)0.001
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: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.118
GPT teacher head0.498
Teacher spread0.380 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Rehabilitation Practices and Research→Same topicBalance, Gait, and Falls Prevention→French-language works237,207→