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Record W2808825784 · doi:10.1075/bpa.7.04koh

How do phonological awareness, morphological awareness, and vocabulary knowledge relate to word reading within and between English and Chinese?

2018· book-chapter· en· W2808825784 on OpenAlex
Poh Wee Koh, Xi Chen, Alexandra Gottardo

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

VenueBilingual processing and acquisition · 2018
Typebook-chapter
Languageen
FieldPsychology
TopicSecond Language Acquisition and Learning
Canadian institutionsWilfrid Laurier UniversityInstitute for Christian StudiesUniversity of Toronto
Fundersnot available
KeywordsPhonological awarenessLinguisticsVocabularyReading (process)PsychologyWord (group theory)Computer scienceNatural language processingPhilosophy

Abstract

fetched live from OpenAlex

Abstract We discuss the cross-language relationships of phonological awareness, morphological awareness, and vocabulary in the context of English and Chinese and also how these three constructs are related to word reading within and between the two languages. We focused on a series of studies that have examined Chinese and English monolinguals, as well as Chinese-English bilinguals. Research supports the contributions of phonological awareness and morphological awareness to reading in English and Chinese, as well as across the two languages. Findings pertaining to vocabulary, however, have been mixed. The review of research here suggests the need to further investigate the inter-relations among subcomponents of phonological awareness and morphological awareness as well as how different aspects of vocabulary knowledge relate to word reading.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.656
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.030
GPT teacher head0.315
Teacher spread0.286 · 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