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Record W2153222145 · doi:10.1080/01443410500341098

Relationships Between First and Second Language Phonological Processing Skills and Reading in Chinese‐English Speakers living in English‐Speaking Contexts

2005· article· en· W2153222145 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

VenueEducational Psychology · 2005
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsUniversity of British ColumbiaWilfrid Laurier University
Fundersnot available
KeywordsOrthographyReading (process)PsychologyLinguisticsPhonologyPhonological awarenessLearning to readPhonetics

Abstract

fetched live from OpenAlex

The relationships between phoneme categorisation, phonological processing, and reading performance were examined in Chinese‐English speaking children in an English‐speaking environment. Second language (L2, i.e., English) phonological processing but not phoneme categorisation was related to L2 reading. First language (L1) oral language skills were related to Chinese reading with L1 phonological processing being related to the Chinese reading task with a strong phonological component (pseudocharacter reading). L1 phoneme categorisation skill was not strongly related to L1 reading. These findings suggest that phonological processing is related to reading tasks with heavy phonological demands, such as reading in an alphabetic orthography or pseudocharacter reading in a nonalphabetic orthography. Exposure to L1 reading might influence processes used by Chinese‐speaking children in an English‐speaking environment.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.187
Threshold uncertainty score0.816

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.001
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 head0.018
GPT teacher head0.343
Teacher spread0.324 · 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