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Record W2128155574 · doi:10.3109/00207451003601201

Free Viewing Perceptual Asymmetry for Distance Judgments: Objects in Right Hemispace are Closer than They Appear

2010· article· en· W2128155574 on OpenAlexaff
Daniel Brian Krupp, Brent M. Robinson, Lorin Elias

Bibliographic record

VenueInternational Journal of Neuroscience · 2010
Typearticle
Languageen
FieldNeuroscience
TopicSpatial Neglect and Hemispheric Dysfunction
Canadian institutionsUniversity of SaskatchewanMcMaster University
Fundersnot available
KeywordsPsychologyCognitive psychologyPerceptionAsymmetryLateralityVisual perceptionDevelopmental psychologyNeurosciencePhysics

Abstract

fetched live from OpenAlex

Neurologically normal individuals demonstrate leftward biases in tasks of line bisection and judgments of brightness, numerosity, and size. Normals also report and demonstrate a right-sided bias when bumping into objects. Collectively, these results suggest that normals relatively neglect the right hemispace. The present experiment investigated the possibility that normals will also demonstrate leftward biases for judgments of distance. Participants viewed two equivalent but mirror-reversed three-dimensional shapes ("boxes" and "pyramids") of various orientations, sizes, and angles, making judgments about the perceived closeness of the stimuli. Significant leftward biases were exhibited for judgments of the closeness of boxes, but not for pyramids. The findings of the current study support the hypothesis that the normal tendency to bump into objects with the right side of one's body might be due to a perceptual asymmetry for distance judgments.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.023
GPT teacher head0.289
Teacher spread0.266 · 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

Citations9
Published2010
Admission routes1
Has abstractyes

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Same venueInternational Journal of NeuroscienceSame topicSpatial Neglect and Hemispheric DysfunctionFrench-language works237,207