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Record W4360843596 · doi:10.5206/cie-eci.v51i2.13973

International Students in Ontario Secondary Schools: Demystifying the Stereotype

2023· article· en· W4360843596 on OpenAlexafffundvenueabout
Sandra R. Schecter, Maria Merecoulias

Bibliographic record

VenueComparative and International Education · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsYork University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsLonelinessSocializationStereotype (UML)ImmigrationPsychologyCitizenshipPedagogySocial psychologyDevelopmental psychologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

This article addresses findings of a pilot study focused on the schooling experiences and social and cultural adaptation of international/visa students who have come to Canada to learn English and obtain an Ontario Secondary School Diploma. Nonnative speakers of English and noncitizens of Canada, they are generally brought to Canada by relatives who depart after installing them with host families with whom they have had virtually no previous contact. Respondents reported that most of these youths’ parents have made considerable sacrifices in the hope that acquisition of “legitimate” English will give their child access to global citizenship and a secure future. Findings indicate that many early study abroad international students experience difficulties with second language socialization and are considered “at risk” for academic failure. Testimony from educators and focal students reveals that this cohort experiences significant adaptation issues, including: loneliness and disorientation, depression, and disabling circumstances resulting from injudicious choices.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.334
Threshold uncertainty score0.959

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)0.0010.000

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 head0.154
GPT teacher head0.468
Teacher spread0.314 · 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.

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

Citations5
Published2023
Admission routes4
Has abstractyes

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