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Record W2108664146 · doi:10.1177/0022022111420144

Language and Culture Effects on Gender Classification of Objects

2011· article· en· W2108664146 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 Cross-Cultural Psychology · 2011
Typearticle
Languageen
FieldPsychology
TopicCategorization, perception, and language
Canadian institutionsMount Royal UniversityUniversity of Alberta
Fundersnot available
KeywordsObject (grammar)PsychologyDevelopmental psychologyTest (biology)Neuroscience of multilingualismGrammatical genderGender biasLinguisticsSocial psychology

Abstract

fetched live from OpenAlex

The present studies test whether French grammatical gender affects bilingual children’s classification of objects as boys or girls in English, in children aged 3 to 5 years (Study 1) and aged 8 to 10 years (Study 2), compared to monolingual children to control for possible cultural biases. In both studies, children tended to classify more objects as boys than as girls. In Study 1, the bilingual children showed a reduced boy bias relative to monolinguals. Only the older children showed a by-object effect of French gender. The bilinguals’ and monolinguals’ classifications were highly correlated. In Study 3, English-speaking adults classified object names as boys or girls. The adults’ classifications were highly correlated with the children’s. The authors argue that the classification of objects by gender is affected by cultural biases as well as knowledge of French. The effect of French knowledge is modified by age.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.882
Threshold uncertainty score1.000

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 head0.061
GPT teacher head0.419
Teacher spread0.357 · 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