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Record W2770121935 · doi:10.1123/mc.2016-0042

Temporal Consistency and Movement Effort of Repetitive Reaching During Continuation in Children and Adults

2017· article· en· W2770121935 on OpenAlexafffund
Victoria Galea, Robyn Traynor, M.R. Pierrynowski

Bibliographic record

VenueMotor Control · 2017
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Music Perception
Canadian institutionsNova Scotia Health AuthorityMcMaster University
FundersCanadian Institutes of Health Research
KeywordsRhythmContinuationPsychologyPaceBeat (acoustics)Physical medicine and rehabilitationAudiologyDevelopmental psychologyMedicineComputer scienceGeographyInternal medicine

Abstract

fetched live from OpenAlex

The ability to match one's movements to an external beat and maintain that rhythm in the absence of the beat suggests sophisticated, well-developed neural control. Children (aged 5-10 years) were compared with adults (aged 18-30 years) during a repetitive reaching task to determine development of this control. Children as young as 5 years exhibited this control. The mean rate of reaching did not differ between groups nor did it differ during the two phases, suggesting an overall ability to internalize and continuously repeat a given pace. Children aged 5-8 years were significantly more variable than children aged 9-10 years and adults, likely attributable to variability in central control processes. We found a possible transition period of temporal control. Children aged 9-10 years begin to exhibit more adult-like levels of variability with respect to temporal consistency and movement effort.

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)0.001
metaresearch head score (Gemma)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.011
GPT teacher head0.240
Teacher spread0.230 · 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
Published2017
Admission routes2
Has abstractyes

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