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Record W2338487404 · doi:10.1177/2167696816643628

Acculturation Motivation in International Student Adjustment and Permanent Residency Intentions

2016· article· en· W2338487404 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.

Bibliographic record

VenueEmerging Adulthood · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsYork University
Fundersnot available
KeywordsAcculturationPsychologyFeelingMultilevel modelCompetence (human resources)Social psychologyPerceptionStudy abroadEthnic groupDevelopmental psychologyMedical educationPedagogyMedicinePolitical science

Abstract

fetched live from OpenAlex

The present study uses a two-phase mixed-methods design to explore the role of motivation to acculturate within the international student experience. Hierarchical regression analyses were conducted to test acculturation motivation (AM) as a predictor of international student adjustment and permanent residency intentions, over and above age, gender, academic year, and English competence. Greater motivation to acculturate was indeed a significant predictor of international student adjustment and increased intentions of pursuing permanent host country residency. To better understand how international students’ experiences relate to levels of AM, qualitative analyses were employed. International students with low levels of AM were more likely to express negative feelings about cross-cultural adjustment, university perception, and peer relationships, compared to students with high levels of AM. Despite such differences, academic and developmental struggles as well as academic successes were similarly voiced across both comparison groups.

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)0.000
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 score0.684
Threshold uncertainty score0.272

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)0.0000.000

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 head0.032
GPT teacher head0.346
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