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Record W2101162750 · doi:10.1051/bioconf/20110100034

What Observation of Motor Skills Does and Does Not Teach Us

2011· article· en· W2101162750 on OpenAlex
Nicola J. Hodges, Nicole T. Ong, Beverley C. Larssen, Shannon B. Lim

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBIO Web of Conferences · 2011
Typearticle
Languageen
FieldPsychology
TopicAction Observation and Synchronization
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsVirtual machinePsychologyMotor skillCognitive psychologyComputer scienceMotor learningHuman–computer interactionDevelopmental psychologyNeuroscience

Abstract

fetched live from OpenAlex

We review data from 4 experiments where we have been studying what is learnt through observation. In these experiments people learnt to reach in a distorted visual-motor, virtual environment. In all experiments observers successfully adapted to new visual-motor environments just by watching. Importantly, however, they adapted differently to actors. At no time did naïve observers show after-effects when returned to a known normal environment. However, if observers had previously practiced in this environment, after-effects were subsequently seen following an observation phase. Further, again different to actors, they showed good retention and lack of interference when performing in two opposing environments. We argue that observation does not result in the updating of an internal (motor) model, that it is primarily strategically mediated and that only after physical experience in the environment can ‘motor-simulation’ through observation take place.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.998

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)0.0030.000

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 head0.059
GPT teacher head0.296
Teacher spread0.237 · 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