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Record W1948265295 · doi:10.18806/tesl.v22i1.164

Learning to Live and Study in Canada: Stories of Four EFL Learners from China

2004· article· en· W1948265295 on OpenAlexvenueaboutno aff
Yi Li

Bibliographic record

VenueTESL Canada Journal · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsMainland ChinaChinaImmigrationPedagogyNarrativeMainlandFace (sociological concept)SociologyPsychologyPolitical scienceHistorySocial scienceLinguistics

Abstract

fetched live from OpenAlex

During the past five years, an increasing number of younger international students from mainland China have appeared on Canadian campuses to pursue their first university degrees. What is it like being an international student studying in a foreign language and culture at such a young age? Through narrative inquiry (Clandinin and Connelly, 2000), the study reported here examines the transitional experiences of four female high school students from mainland China as they moved from a Chinese high school to a Canadian high school and later to a Canadian university. The study attempts to record and understand the challenges these students face in order to live and study in English in a vastly different educational, cultural and social milieu. The study also offers insights into how these international students, as well as many recent immigrant ESL students, can be better supported during their adaptation process in Canada.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.099
Threshold uncertainty score0.366

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0460.015
Scholarly communication0.0060.003
Open science0.0040.007
Research integrity0.0040.008
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 head0.040
GPT teacher head0.371
Teacher spread0.331 · 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 designQualitative
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

Citations40
Published2004
Admission routes2
Has abstractyes

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