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Record W2767453073

A Day in the Life of a Spoken Word

2004· article· en· W2767453073 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

VenueeScholarship (California Digital Library) · 2004
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsYork University
FundersMedical Research Council
KeywordsLexical decision taskPsychologyTask (project management)Session (web analytics)Cognitive psychologyLinguisticsComputer scienceCognition
DOInot available

Abstract

fetched live from OpenAlex

Two experiments tracked the emergence of lexical competition effects for newly learnt spoken words (e.g., "cathedruke").Experiment 1 compared form-only learning with learning in semantically rich sentence contexts.In both cases, although immediate explicit recognition of the novel words was good, lexical competition effects (e.g., "cathedruke-cathedral") emerged only after a delay of at least 24 hours.Experiment 2 evaluated the timecourse of learning in more detail and used embedding (rather than cohort) new competitors (e.g., "shadowks").Again results showed no evidence of lexicalization immediately after exposure, but clear lexical competition effects after 24 hours.Furthermore, recognition and free recall improved over time.These results are interpreted in terms of a consolidation process that integrates words into the mental lexicon over a relatively protracted period of time.

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 score0.553
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.018
GPT teacher head0.249
Teacher spread0.232 · 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