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Record W2166772806 · doi:10.1093/geronb/55.2.p85

Effects of Aging on Automatic and Effortful Processes in Bimanual Coordination

2000· article· en· W2166772806 on OpenAlexafffund
Laurie Wishart, T. D. Lee, Jason E. Murdoch, Nicola J. Hodges

Bibliographic record

VenueThe Journals of Gerontology Series B · 2000
Typearticle
Languageen
FieldNeuroscience
TopicMotor Control and Adaptation
Canadian institutionsMcMaster University
FundersMcMaster University
KeywordsPsychologyMotor coordinationRelative phaseDevelopmental psychologyCognitive psychologyMovement (music)Physical medicine and rehabilitationPhase (matter)NeuroscienceMedicine

Abstract

fetched live from OpenAlex

Two experiments are reported that compared younger and older adults on their performance of two bimanual temporal coordination tasks at varying movement speeds. In many cases, older adults performed as well as younger adults at all speeds of an in-phase coordination pattern and at slow speeds of an anti-phase pattern for both coordination accuracy and stability. Age differences tended to emerge most prominently at high speeds for the anti-phase pattern. These findings are consistent with the aging literature regarding automatic and effortful processing distinctions, suggesting that relative age differences become magnified when effortful resources are required for motor 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 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)0.002
metaresearch head score (Gemma)0.010
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.025
GPT teacher head0.286
Teacher spread0.261 · 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

Citations102
Published2000
Admission routes2
Has abstractyes

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