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Record W3012345024 · doi:10.1017/s0272263119000767

ORAL LANGUAGE PROFILES OF ENGLISH SECOND LANGUAGE LEARNERS IN ADOLESCENCE

2020· article· en· W3012345024 on OpenAlex
Adriana Soto‐Corominas, Johanne Paradis, Brian V. Rusk, Stefka H. Marinova-Todd, Xuan Zhang

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueStudies in Second Language Acquisition · 2020
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsUniversity of British ColumbiaUniversity of Alberta
Fundersnot available
KeywordsPsychologyTimelineVariation (astronomy)First languageCognitionLinguisticsDevelopmental psychologyConvergence (economics)Mathematics educationGeography

Abstract

fetched live from OpenAlex

Abstract It is often claimed that child English L2 learners take up to seven years to attain English skills commensurate with those of monolingual peers; however, existing research is insufficient to know if this claim is valid for oral language abilities in particular. This study examined the lexical and morphological abilities of English L2 learners and their monolingual peers (ages 12–15; N = 227) in Canadian middle schools to determine the timeline for convergence with monolinguals, and what factors predict individual differences among L2 learners. Having seven or more years of schooling was insufficient for all L2 learners to converge with monolinguals on all measures; moreover, growth in English abilities slowed after seven years. Regression analyses revealed that use of English with friends, parental education, and cognitive skills predicted individual variation in the L2 learners’ English abilities and, thus, contributed to their potential for convergence with monolinguals.

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 categoriesInsufficient 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 score0.053
Threshold uncertainty score0.996

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)0.0050.000

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 head0.022
GPT teacher head0.329
Teacher spread0.307 · 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