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Record W2054810255 · doi:10.1080/13875868.2010.487963

Monitoring Object Orientation: Effects of Layout Complexity, Viewpoint Changes, and Object Function

2010· article· en· W2054810255 on OpenAlex
Catherine Mello, David Waller

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSpatial Cognition and Computation · 2010
Typearticle
Languageen
FieldEngineering
TopicSpatial Cognition and Navigation
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsOrientation (vector space)Object (grammar)Computer scienceUnitary stateArtificial intelligenceObject-orientationComputer visionCognitive psychologyPsychologyObject-oriented programmingMathematicsGeometry

Abstract

fetched live from OpenAlex

Abstract Studies of spatial representations have typically limited their analysis to memory for object location. Three experiments examined whether another spatial feature, object orientation, could be monitored and represented in a similar fashion. In Experiment 1, an adaptation of the change detection paradigm of Simons and Wang (1998) Simons, D. J. and Wang, R. F. 1998. Perceiving real-world viewpoint changes. Psychological Science, 9: 315–320. [Crossref], [Web of Science ®] , [Google Scholar], we found that, whereas unitary location or identity changes were readily noticed, generalized orientation changes were not. Experiment 2 showed that orientation monitoring is strongly affected by layout complexity, viewpoint changes, and the extent of array modifications. Finally, Experiment 3 suggested that an object's behavioral relevance may selectively enhance its orientation processing.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.850
Threshold uncertainty score0.677

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)0.0000.000

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 head0.016
GPT teacher head0.251
Teacher spread0.235 · 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