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Record W2056346734 · doi:10.3200/jmbr.39.3.169-178

Visuomotor Memory for Target Location in Near and Far Reaching Spaces

2007· article· en· W2056346734 on OpenAlex

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

VenueJournal of Motor Behavior · 2007
Typearticle
Languageen
FieldNeuroscience
TopicMotor Control and Adaptation
Canadian institutionsUniversity of SaskatchewanWestern University
Fundersnot available
KeywordsTask (project management)Near spaceComputer sciencePosition (finance)Cognitive psychologyHand positionSpace (punctuation)PsychologyCommunicationArtificial intelligenceGeography

Abstract

fetched live from OpenAlex

The authors investigated systematic error associated with endpoints of memory-guided actions performed in near and far reaching spaces. To accomplish that objective, the authors instructed 12 participants to initiate open-loop and memory-guided reaches (0, 2,000, and 5,000 ms of visual delay) from a common start position to remembered midline targets in near (i.e., a backward reach) and far (i.e., a forward reach) reaching spaces. The results indicated that near and far reaches, respectively, over- and undershot veridical target location, and the direction-specific nature of the error was amplified in the memory-guided conditions. The latter finding represents an important aspect of the present research because it suggests that the direction-specific error identified here is related to factors arising within the sensory component of the task rather than mechanical differences in reaching direction. The authors propose that stored target information serving memory guided actions is susceptible to a compression of visual space in memory such that the egocentric distance of a remembered target is underestimated.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.880
Threshold uncertainty score0.332

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.000

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 head0.034
GPT teacher head0.300
Teacher spread0.265 · 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