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Reading in English as a First or Second Language: The Case of Grade 3 Spanish, Portuguese, and English Speakers

2011· article· en· W2124608756 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

VenueLearning Disabilities Research and Practice · 2011
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsUniversity of TorontoWilfrid Laurier University
Fundersnot available
KeywordsPortuguesePsychologyLinguisticsReading comprehensionVocabularyReading (process)Neuroscience of multilingualismComprehensionFirst language

Abstract

fetched live from OpenAlex

This study compared variables related to reading ability in Grade 3 students learning English as a first language (L1) and second language (L2). The students learning English as an L2 came from diverse backgrounds, with different levels of bilingualism in Spanish and English or Portuguese and English before they entered school. Both within‐group and between‐group differences emerged in comparing Spanish children from two cohorts, and in comparing the Spanish group to the Portuguese and English groups. Models predicting reading comprehension found differences with respect to the contribution of receptive vocabulary, decoding, and print exposure in the L1 and L2 groups, depending on the L2 students’ bilingual language status and language acquisition experiences. Additionally, print exposure was more highly related to comprehension in the lowest performing L2 groups. Implications and future directions are discussed.

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)0.005
metaresearch head score (Gemma)0.031
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.135
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.031
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.079
GPT teacher head0.396
Teacher spread0.317 · 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