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Record W1982005826 · doi:10.3819/ccbr.2010.50011

Comparative Vision Science: Seeing Eye to Eye.

2010· article· en· W1982005826 on OpenAlex
Fabián A. Soto, Edward A. Wasserman

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.

venuePublished in a venue whose home country is Canada.
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

VenueComparative Cognition & Behavior Reviews · 2010
Typearticle
Languageen
FieldNeuroscience
TopicVisual perception and processing mechanisms
Canadian institutionsnot available
FundersNational Eye InstituteNational Institute of Mental Health
KeywordsComparative cognitionCategorizationCognitionCognitive scienceAnimal cognitionComparative psychologyPerceptionPsychologyObject (grammar)Vision scienceVisual perceptionMainstreamCognitive psychologyInterpretation (philosophy)Representation (politics)Artificial intelligenceComputer scienceNeuroscience

Abstract

fetched live from OpenAlex

In the study of comparative cognition and perception, disparities in the diverse approaches that researchers take in studying behavior sometimes obscure the interpretation of a particular empirical finding. We describe an approach to the study of comparative cognition and perception which focuses on explaining the ways in which different biological systems solve the computational challenges that are posed by their natural environments. Within this investigative framework, the task of detecting correspondence between a three-dimensional object and its two-dimensional photographic representation falls outside the mainstream of most research in animal visual cognition and is of limited value for divulging the principles or mechanisms that underlie the visual abilities of animals. More productive pursuits seek to elucidate the principles and mechanisms of object recognition and categorization, and to illuminate how they contribute to the animal's survival in the visual world.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.007

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 head0.246
GPT teacher head0.501
Teacher spread0.255 · 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