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Record W4206638575 · doi:10.1177/22125868211059197

Identity negotiation of Chinese international students in Canada: A study on cosmopolitan post-graduation settlement

2022· article· en· W4206638575 on OpenAlexaffabout
Sebastian Zhao, Boulou Ebanda de B’béri

Bibliographic record

VenueInternational Journal of Chinese Education · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsUniversity of OttawaYork University
Fundersnot available
KeywordsAcculturationGraduation (instrument)NegotiationSettlement (finance)Identity (music)ChinaStudy abroadIdentity negotiationPolitical scienceSociologyImmigrationGender studiesPedagogySocial scienceBusinessLawEngineering

Abstract

fetched live from OpenAlex

This study focuses on analyzing the acculturation of Chinese international students in Canada, emphasizing students' post-graduation settlement in China, Canada, or in other countries. Chinese international students commonly experience a multilayered acculturative adjustment when they are challenged by a new culture. In this process, they develop an identity negotiation that impacts their settlement into a new country. This study mobilizes four notions of acculturation (e.g., assimilation, integration, marginalization, and separation), to evaluate Chinese international students’ identity negotiation after university. This research uses 17 semi-structured interviews to understand how participants' identities were negotiated through their acculturative adjustment. First, the findings highlight the importance of career factors and family values in participants' settlement decisions. Second, the balance between Chinese identity and Canadian identity has some impact on student’s migration plans.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.226
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.017
GPT teacher head0.388
Teacher spread0.372 · 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

Citations10
Published2022
Admission routes2
Has abstractyes

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