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Record W2117776084 · doi:10.3109/01942638.2012.757574

Frequency of Anticipatory Trunk Muscle Onsets in Children with and Without Developmental Coordination Disorder

2013· article· en· W2117776084 on OpenAlexaff
Kyra Kane, John M. Barden

Bibliographic record

VenuePhysical & Occupational Therapy In Pediatrics · 2013
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsPhysical medicine and rehabilitationElectromyographyTrunkPsychologyMotor coordinationCoactivationLeg muscleTypically developingPhysical therapyMedicineDevelopmental psychologyNeuroscience

Abstract

fetched live from OpenAlex

This study used electromyography to compare the frequency of anticipatory postural adjustments for three bilateral trunk muscles and unilateral tibialis anterior muscle between children with and without developmental coordination disorder (DCD; n = 22, ages 7 to 14 years) during three tasks (kicking a ball, stepping onto a step, standing on one foot). Between-group comparisons demonstrated significantly less frequent anticipatory activation of ipsilateral tibialis anterior, ipsilateral transversus abdominis/internal oblique, and bilateral external oblique muscles in children with DCD. Odds ratios indicated that children with DCD utilized anticipatory contractions of these muscles one half to one quarter as often as the typically developing children did, while performing the same tasks. These results suggest that the movement difficulties experienced by children with DCD may be associated with less frequent anticipatory adjustments. For these children, inconsistent preparatory activation may contribute to postural control difficulties, excessive movement variability and poor movement quality.

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 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 score0.024
Threshold uncertainty score0.641

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.020
GPT teacher head0.302
Teacher spread0.282 · 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 teacher head, 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

Citations19
Published2013
Admission routes1
Has abstractyes

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