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Record W4411573204 · doi:10.1017/s1366728925100229

Contextual diversity and picture naming: The role of aging and bilingualism

2025· article· en· W4411573204 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBilingualism Language and Cognition · 2025
Typearticle
Languageen
FieldPsychology
TopicCategorization, perception, and language
Canadian institutionsMcGill UniversityBruyèreUniversity of Ottawa
FundersAlzheimer Society
KeywordsNeuroscience of multilingualismPsychologyDiversity (politics)LinguisticsCognitive psychologySociologyNeuroscienceAnthropology

Abstract

fetched live from OpenAlex

Abstract Word frequency has long been considered an essential aspect of psycholinguistic theory. However, research has shown that measures of contextual and semantic diversity provide a better fit to lexical decision and naming data than word frequency. The current study examines the role of contextual and semantic diversity in picture naming ability across aging and bilingualism. A picture naming experiment was conducted with six groups of participants: younger monolinguals, older monolinguals, younger L1 English bilinguals, older L1 English bilinguals, younger L2 English bilinguals and older L2 English bilinguals. Consistent with previous findings, the contextual diversity measure accounted for more variance in the picture naming data than word frequency. Furthermore, older adults and L1 English bilinguals were more sensitive to semantic diversity information, while younger adults and L2 English bilinguals relied more on age of acquisition in their lexical organization.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.137
Threshold uncertainty score0.429

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 head0.010
GPT teacher head0.280
Teacher spread0.270 · 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