MétaCan
Menu
Back to cohort
Record W1993048521 · doi:10.1037/a0033090

Revisiting age-of-acquisition effects in Spanish visual word recognition: The role of item imageability.

2013· article· en· W1993048521 on OpenAlexaff
Maximiliano A. Wilson, Fernando Cuetos, Robert Davies, Cristina Burani

Bibliographic record

VenueJournal of Experimental Psychology Learning Memory and Cognition · 2013
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsUniversité LavalInstitut Universitaire en Santé Mentale de Québec
FundersEuropean Commission
KeywordsAge of AcquisitionOrthographyPsychologyPhonologyReading (process)Semantics (computer science)Word recognitionWord lists by frequencyCognitive psychologyCognitionLexical decision taskWord (group theory)Affect (linguistics)LinguisticsCommunicationComputer scienceNatural language processing

Abstract

fetched live from OpenAlex

Word age-of-acquisition (AoA) affects reading. The mapping hypothesis predicts AoA effects when input-output mappings are arbitrary. In Spanish, the orthography-to-phonology mappings required for word naming are consistent; therefore, no AoA effects are expected. Nevertheless, AoA effects have been found, motivating the present investigation of how AoA can affect reading in Spanish. Four experiments were run to examine reading with a factorial design manipulating AoA and frequency. In Experiments 1 and 2 (immediate and speeded naming), only word frequency affected word naming. In Experiment 3 (lexical decision), both AoA and frequency affected word recognition. In Experiment 4 (immediate naming with highly imageable items), both frequency and AoA affected naming. The results suggest that highly imageable items induce a larger reliance on semantics in reading aloud. Such reliance causes faster naming of earlier acquired words because the corresponding concepts have richer visual and sensory features acquired mainly through direct sensory experience.

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)0.001
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 score0.797
Threshold uncertainty score0.760

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.015
GPT teacher head0.324
Teacher spread0.309 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations34
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Experimental Psychology Learning Memory and CognitionSame topicReading and Literacy DevelopmentFrench-language works237,207