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Record W2204623749 · doi:10.1017/s0142716415000508

The impact of language on the relationships between phonological awareness and word reading in different orthographies: A test of the psycholinguistic grain size theory in bilinguals

2015· article· en· W2204623749 on OpenAlexafffund
Alexandra Gottardo, Adrian Pasquarella, Xi Chen, Gloria Ramírez

Bibliographic record

VenueApplied Psycholinguistics · 2015
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsUniversity of TorontoThompson Rivers UniversityWilfrid Laurier University
FundersSocial Sciences and Humanities Research Council of CanadaWilfrid Laurier University
KeywordsPhonological awarenessPsychologyOrthographyLinguisticsReading (process)Hard rimePhonologyPsycholinguisticsSyllableMetalinguisticsCognitionVocabulary development

Abstract

fetched live from OpenAlex

ABSTRACT The relationships among first language (L1) and second language (L2) phonological awareness and reading skills were examined in English L2 learners with a variety of L1s, specifically Spanish, Portuguese, and Chinese (maximum N = 252). Longitudinal and concurrent relations between word reading and subcomponents of phonological awareness (i.e., syllable, onset-rime, phoneme, and, where applicable, tone awareness) were examined in kindergarten and first and second grades. The relationships between reading and specific subcomponents of phonological awareness were associated with the orthography being read, English or the L1. Phonological awareness subcomponents related to English reading were generally similar for the three English L2 groups, despite differences in the orthographies of learners’ native language. The findings support the psycholinguistic grain size theory with regard to links between phonological sensitivity and the sound–symbol correspondences used to read the specific languages.

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)0.003
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.057
GPT teacher head0.362
Teacher spread0.305 · 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 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

Citations32
Published2015
Admission routes2
Has abstractyes

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