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Record W171828611 · doi:10.1167/7.9.423

[no title]

2010· article· en· W171828611 on OpenAlexaff
Linkenauger Sally, Witt Jessica, Bakdash Jonathon, Proffitt Dennis

Bibliographic record

VenueJournal of Vision · 2010
Typearticle
Languageen
FieldNeuroscience
TopicHemispheric Asymmetry in Neuroscience
Canadian institutionsWestern University
Fundersnot available
KeywordsBody schemaLeft handedSchema (genetic algorithms)Right handedLeft and rightReachabilityPsychologyComputer sciencePhysicsPerceptionEngineeringOpticsAlgorithmNeuroscience

Abstract

fetched live from OpenAlex

Previous research has shown that body schema has its roots in the ability to act or experience in action. In the present set of experiments, the effect of handedness on body schema was investigated. In one experiment, participants estimated the length and of their left and right arms. Right-handed participants perceived their right arms to be longer and their left arms to be shorter than their actual lengths; whereas, left-handed participants perceived both arms accurately. In the second experiment, we observed the same pattern when participants estimated the distance that they could reach with each arm. Right-handed participants overestimated their reachability with their right arm more than they overestimated their reachability with their left arm. Left-handed people overestimated their reach with the left arm the same amount as they overestimated their reach with their right arm. These results support the notion that left-handed people have a symmetrical body schema, and right-handed people have an asymmetrical body schema. These differences in body schema lead to differences in anticipated actions.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.992
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.001

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 head0.019
GPT teacher head0.320
Teacher spread0.302 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2010
Admission routes1
Has abstractyes

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