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Record W2990954515

The Acculturation Process and Strategies of First-Generation Chinese Students in Canadian Higher Education

2019· article· en· W2990954515 on OpenAlexaboutno aff
Fangqing Xu

Bibliographic record

VenueBrock University Digital Repository (Brock University) · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsAcculturationProcess (computing)Higher educationPolitical sciencePedagogyImmigrationPsychologySociologyMathematics educationProcess managementComputer scienceBusinessLaw
DOInot available

Abstract

fetched live from OpenAlex

The acculturation attitudes, processes, and strategies of international students in the transitioning stage (i.e., between temporary residents with a study permit and landed immigrants) serve as key predictors of their acculturation experiences in the future. This paper reviewed and drew from the leading theories and previous empirical studies. In-depth interviews were conducted to examine the predominant stressors, attitudes, and strategies in the acculturation processes among 6 first-generation Chinese students with specific emphases on their multiple identities within the context of heterogeneity in Canada, and students’ appraisal of the acculturation strategy adopted by the larger society. The findings revealed 4 major aspects: pre-acculturation moderating factors, acculturation attitudes and strategies, identity formation within the multicultural context, and individuals’ appraisal of policies and practices at all levels. The results of this study may provide implications for university programs and counseling services to improve the retention and well-being of international students.

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.992
Threshold uncertainty score0.487

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.012
GPT teacher head0.252
Teacher spread0.240 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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Same venueBrock University Digital Repository (Brock University)Same topicInternational Student and Expatriate ChallengesFrench-language works237,207