MétaCan
Menu
Back to cohort
Record W2914181413 · doi:10.7202/1057965ar

Fee-Paying English Language Learners: Situating International Students’ Impact on British Columbia’s Public Schools

2019· article· en· W2914181413 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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Journal of Applied Linguistics · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSocializationInternationalizationContext (archaeology)Government (linguistics)Political sciencePedagogySociologyInternational educationPublic policyHigher educationPublic relationsSocial scienceGeographyBusiness

Abstract

fetched live from OpenAlex

This article examines the relationship between international education and English as an additional language (EAL) education in British Columbia’s public education system. Drawing on a wide range of data generated as part of a longitudinal study of high school aged fee-paying international students (FISs) in an urban school district in British Columbia, I make the case that FIS recruitment and presence is having a socializing impact on EAL education in British Columbia’s public schools. In contrast to the way FISs are accounted for in official government statistics, I show how, across multiple actors and dimensions of the public system, FISs are routinely treated and represented as English language learners (ELLs). I argue that these routinized constructions are evidence of the multilayered socialization of EAL education by internationalization efforts in British Columbia’s K-12 sector, and discuss some of the ways this FIS socialization is consequential for EAL learning and teaching in public high schools. I situate my discussion of the FIS-EAL relationship within the larger context of applied linguistics and education-related research on internationalization and educational migration in K-12 settings, and raise questions about how FIS socialization is relevant to discussions of public education.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.641
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0030.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.014
GPT teacher head0.242
Teacher spread0.229 · 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