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Record W2011454265 · doi:10.1177/147059580223003

Expatriate Adjustment from a Social Network Perspective

2002· article· en· W2011454265 on OpenAlex
Xiaoyun Wang

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

VenueInternational Journal of Cross Cultural Management · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsExpatriatePsychologyConceptual modelSocial psychologyPerspective (graphical)SociologyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

The expatriate social network is an under-emphasized area in expatriate literature. This article contributes to the expatriate adjustment literature by clarifying the relationships among the expatriate personal network, psychological well-being and performance with a testable conceptual model. After reviewing the expatriate adjustment literature and relevant sociology and psychology literature, a conceptual model is proposed that indicates the impact of the expatriate social network on expatriate psychological well-being. It further predicts that the expatriate social network will not only directly affect, but also interact with, other cultural, organizational and individual factors to influence expatriate psychological well-being. This article also highlights the importance of psychological well-being as an indicator of expatriate adjustment. It proposes that psychological well-being has a strong predicting effect on expatriate performance and will mediate the effects of other factors on expatriate performance. Propositions are developed to guide future empirical studies.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.479
Threshold uncertainty score0.999

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.051
GPT teacher head0.388
Teacher spread0.337 · 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