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Record W2158518897 · doi:10.1017/s1366728910000489

Cross-language phonological activation of meaning: evidence from category verification

2011· article· en· W2158518897 on OpenAlexaff
Deanna C. Friesen, Debra Jared

Bibliographic record

VenueBilingualism Language and Cognition · 2011
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsWestern University
Fundersnot available
KeywordsHomophoneLinguisticsPhonologyMeaning (existential)OrthographyPsychologyReading (process)Control (management)Computer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

The study investigated phonological processing in bilingual reading for meaning. English–French and French–English bilinguals performed a category verification task in either their first or second language. Interlingual homophones (words that share phonology across languages but not orthography or meaning) and single language control words served as critical stimuli. The interlingual homophones and their control words were not members of the categories, but their interlingual homophone mates were category members (e.g., A vegetable: shoe, where chou in French means “cabbage”). The bilinguals made more errors and had longer decision latencies on homophones than on their control words, providing evidence for cross-language phonological activation of meaning. Results are discussed with respect to the Bilingual Interactive Activation Model (BIA+).

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.

How this classification was reachedexpand

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.592
Threshold uncertainty score0.999

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)0.0020.000

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 head0.067
GPT teacher head0.344
Teacher spread0.277 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations24
Published2011
Admission routes1
Has abstractyes

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