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Record W2043491086 · doi:10.1080/713756669

The development of conceptual colour categories in pre-school children: Influence of perceptual categorization

2003· article· en· W2043491086 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

VenueVisual Cognition · 2003
Typearticle
Languageen
FieldPsychology
TopicCategorization, perception, and language
Canadian institutionsMcGill University
Fundersnot available
KeywordsCategorizationPsychologyPerceptionComprehensionCognitive psychologyConcept learningTask (project management)Categorical variableDevelopmental psychologyCommunicationLinguisticsComputer science

Abstract

fetched live from OpenAlex

This study investigates the influence of perceptual colour categorization on the development of conceptual colour space in 43 pre-school children as a function of language-age. Knowledge of the 11 basic colour terms identified by Berlin and Kay (1969) was assessed in comprehension and naming tasks. Children's ability to comprehend basic colour terms was assessed in a spoken word-to-colour matching task in which a target colour was presented with two distracters from either distant or adjacent perceptual colour categories. Children's ability to name basic colour sensations was measured in an explicit naming task. Results showed that children's comprehension of basic colour terms was influenced by the perceptual relationship between the target and distracter colours. Most importantly, at a language-age of 3 years and above, naming errors were more likely to be made to adjacent, rather than distant, perceptual colour categories. These results are consistent with the prediction that categorical colour perception influences the underlying structure of developing conceptual colour space during the period in which children acquire basic colour terms.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.576
Threshold uncertainty score0.904

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)0.0010.000

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 head0.014
GPT teacher head0.307
Teacher spread0.292 · 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