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Record W2053124097 · doi:10.2114/jpa.20.111

Analysis of Cognitive and Motor Functioning during Pubertal Development: A New Approach.

2001· article· en· W2053124097 on OpenAlexaff
Miroslav Živičnjak, Mislav Stjepan Žebec, Doris Franke, Guido Filler, Lajos Szirovica, Dieter Haffner, Uwe Querfeld, Jochen HH Ehrich, Pavao Rudan

Bibliographic record

VenueJournal of PHYSIOLOGICAL ANTHROPOLOGY and Applied Human Science · 2001
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsCognitionDevelopmental psychologyPsychologyAudiologyMedicineNeuroscience

Abstract

fetched live from OpenAlex

We investigated cognitive-motor abilities in 303 (156 female) school children from Zagreb, Croatia, in the age span 10 to 14 years using a newly developed chronometrical reactionmeter system (CRD). The following tests were applied: CRD-311 (simple visual discrimination of signal location), CRD-324 (short-term memory actualisation), CRD-21 (simple convergent visual orientation), and CRD-11 (arithmetically conceptualised/operationalised convergent thinking). In both gender a statistically significant age related improvement of the performance for time related parameters (minimum time of test item solving (MT), total ballast (TB), and total time of test solving (TT) was observed. In contrast, the number of errors (NE), which was the only non-time related parameter tested, did not significantly change with age. Significant differences between boys and girls were observed for the time related parameters TB and MT. TB was significantly lower in girls, whereas boys tended to be faster in MT measurements. In TT as a composed measure of the mentioned parameters, no major differences were observed. We conclude that the CRD system is a new useful tool for investigating the complexity of cognitive-motor abilities in children. Our cross-sectional study demonstrated that the time-related parameters were significantly affected by age and gender during puberty.

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 score0.929
Threshold uncertainty score0.920

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
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 head0.038
GPT teacher head0.316
Teacher spread0.278 · 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

Citations8
Published2001
Admission routes1
Has abstractyes

Explore more

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