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Record W2069967308 · doi:10.1075/jicb.1.2.02lys

The effects of biliteracy instruction on morphological awareness

2013· article· en· W2069967308 on OpenAlexaff
Roy Lyster, Jorge Quiroga, Susan Ballinger

Bibliographic record

VenueJournal of Immersion and Content-Based Language Education · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsMcGill University
Fundersnot available
KeywordsNeuroscience of multilingualismPsychologyDominance (genetics)Focus groupMathematics educationEnglish languageLinguisticsPedagogySociology

Abstract

fetched live from OpenAlex

This classroom intervention study investigated the effects of biliteracy instruction on Grade 2 students’ morphological awareness in French and English. Three pairs of partner teachers (French/English) participating in a professional development project co-designed and implemented biliteracy tasks across their French and English classes, which together comprised a total of 80 students identified as dominant in either French or English or as French-English bilinguals. The biliteracy instruction integrated a linguistic focus on derivational morphology with a thematic focus on illustrated storybooks. Before and after the intervention, separate measures of morphological awareness in French and English were administered to a subsample of their students (n = 45) as well as to a comparison group of students (n = 20) not receiving the instruction. The experimental group significantly outperformed the comparison group in French, but not in English, yet when students’ language dominance was accounted for in the English measure, English-dominant students in the experimental group significantly outperformed their counterparts in the comparison group.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.018
GPT teacher head0.258
Teacher spread0.240 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations100
Published2013
Admission routes1
Has abstractyes

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Same venueJournal of Immersion and Content-Based Language EducationSame topicEFL/ESL Teaching and LearningFrench-language works237,207