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Record W4416302592 · doi:10.25071/2564-2855.52

Supporting literacy development of multilingual language learners with limited or interrupted education

2025· article· W4416302592 on OpenAlexaffvenueabout
Natasha Faroogh, Joy Jones, Munise Gültekin

Bibliographic record

VenueWorking papers in Applied Linguistics and Linguistics at York · 2025
Typearticle
Language
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsYork University
Fundersnot available
KeywordsLiteracyVariety (cybernetics)Reading (process)MultilingualismPopulationFace (sociological concept)Formal educationInformation literacy

Abstract

fetched live from OpenAlex

As more migrants enter Ontario’s education systems, supporting new students learning English becomes increasingly important.Multilingual Language Learners (MLLs) come from a variety of backgrounds and have diverse needs. Of this group, adolescent migrantswhose families have been forcibly displaced are a particularly vulnerable population who face unique educational challenges in English literacy development, especially if they are students with limited or interrupted formal education (SLIFE). This lack of access to formal education may result in relatively limited literacy skills in adolescent MLLs’ first language(s). This paper reviews literature on relevant frameworks to literacy development; analyzes empirical and conceptual studies on MLLs’ literacy development; and offers pedagogical practices that can help facilitate adolescent MLLs’ reading development in English. The paper concludes with recommendations for future research to optimize adolescent MLLs’ integration and success into the public education system.

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 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)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.938
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.032
GPT teacher head0.405
Teacher spread0.373 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations0
Published2025
Admission routes3
Has abstractyes

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