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Movement Coordination in Ball Catching

2010· article· en· W1977654017 on OpenAlexaff
Eryk Przysucha, Brian K. V. Maraj

Bibliographic record

VenueResearch Quarterly for Exercise and Sport · 2010
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsUniversity of AlbertaLakehead University
Fundersnot available
KeywordsPhysical medicine and rehabilitationPsychologyMotor coordinationTask (project management)Typically developingPhysical therapyDevelopmental psychologyMedicine

Abstract

fetched live from OpenAlex

This investigation examined the catching coordination of 12 boys (M age = 9.9 years, SD = .8) with and without Developmental Coordination Disorder (DCD; M age = 10.5 years, SD = .8), under different task constraints. Participants attempted a total of 60 catches in central and lateral locations, under blocked and randomized conditions. No effect of randomization was found for the number of balls caught, but a significant Group x Location interaction effect (p < .0001) showed that typically developing boys had nearly perfect scores. Boys with DCD caught more balls in central (73%) than lateral trials (47%). During the latter grasping and positional errors were also evident. Due to pronounced functional difficulties in the lateral trials, and coinciding differences in the arm and leg actions, it was concluded that intersegmental coordination constituted the organizational limits for boys with DCD.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.881
Threshold uncertainty score0.366

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 head0.027
GPT teacher head0.355
Teacher spread0.328 · 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

Citations12
Published2010
Admission routes1
Has abstractyes

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