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Record W20836145 · doi:10.1123/apaq.30.2.103

Self-Regulation as a Mediator in Motor Learning: The Effect of the Cognitive Orientation to Occupational Performance Approach on Children With DCD

2013· article· en· W20836145 on OpenAlexaff
Claire Sangster Jokić, Helene J. Polatajko, David Whitebread

Bibliographic record

VenueAdapted Physical Activity Quarterly · 2013
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychologyMotor skillMotor coordinationDevelopmental psychologyCompetence (human resources)CognitionPsychomotor learningSocial psychologyNeuroscience

Abstract

fetched live from OpenAlex

Children with developmental coordination disorder (DCD) experience difficulty performing everyday motor tasks. It is has been suggested that children with DCD have fewer self-regulatory (SR) skills with which to acquire motor skills. This article presents the results of an exploratory study examining the development of SR competence among ten 7-9-year-old children with DCD participating in the Cognitive Orientation to daily Occupational Performance (CO-OP) program (Polatajko & Mandich, 2004). Using a quantitative observational coding method, children's SR behavior was examined and compared across intervention sessions. Results indicate that children demonstrating improved motor performance similarly demonstrated more independent and effective SR behaviors. In contrast, children whose motor performance remained relatively stable failed to demonstrate such a change. These findings suggest that CO-OP enables SR performance among children with motor performance difficulties and, as a result, facilitates improved task performance.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.626
Threshold uncertainty score0.453

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 head0.006
GPT teacher head0.245
Teacher spread0.239 · 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

Citations20
Published2013
Admission routes1
Has abstractyes

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