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Record W2606911034 · doi:10.1097/tld.0000000000000118

Learning to Read in English and French

2017· article· en· W2606911034 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

VenueTopics in Language Disorders · 2017
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsSocial Sciences and Humanities Research CouncilInstitute for Christian StudiesUniversity of TorontoDalhousie University
Fundersnot available
KeywordsPsychologyPhonological awarenessReading (process)VocabularyLinguisticsWord recognitionPhonologyLearning to readLongitudinal studyVocabulary development

Abstract

fetched live from OpenAlex

This longitudinal study investigated the predictors of word reading in English and French for 69 children in early total French immersion from first through third grade. The influence of phonological awareness, orthographic processing, and vocabulary in English and French on the achievement and growth of word reading in the 2 languages were evaluated with growth curve analyses. Findings revealed that predictors in Grade 1 were similar for English and French word reading in Grade 3. Specifically, English phonological awareness and orthographic processing predicted English word reading achievement; English orthographic processing also predicted growth in English word reading. French phonological awareness and orthographic processing in Grade 1 predicted French word reading achievement in Grade 3. Furthermore, at-risk readers identified in Grade 1 ( n = 6) generally fell behind their typically developing peers across all measures, although evidence of improvement emerged over time.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.396
Threshold uncertainty score0.673

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.010
GPT teacher head0.318
Teacher spread0.308 · 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