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Record W2074791939 · doi:10.1108/13527600310797630

The relationship between work‐role characteristics and intercultural transitional adjustment domain patterns among a sample of US and Canadian expatriates on assignment in Ireland

2003· article· en· W2074791939 on OpenAlexaboutno aff
Michael Morley, Mary Flynn

Bibliographic record

VenueCross Cultural Management An International Journal · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsNoveltyExpatriateAmbiguityVariance (accounting)Work (physics)Construct (python library)PsychologyModerationSocial psychologySample (material)Demographic economicsEconometricsEconomicsPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Borrowing from earlier contributions in the cross‐cultural management and international human resource management literatures, firstly we conceptualise expatriate adjustment as a multifaceted construct encompassing work, general, interaction and overall adjustment and then we examine the impact of work‐role characteristics in the form of role novelty, role ambiguity, role conflict and role overload on these different domains of adjustment. With respect to adjustment, while our data, drawn from a postal survey of US and Canadian expatriates on assignment in Ireland, show some variations in work, general, interaction and overall adjustment, the composite measure of overall adjustment reveals that, on the whole, respondents are well adjusted to working and living in Ireland. Turning to the impact of work‐role characteristics on adjustment domains, role novelty is positively correlated with work adjustment. Both role ambiguity and role conflict are negatively correlated with work adjustment. Multiple regression results reveal that, combined, role novelty, role ambiguity, role conflict and role overload account for 31.1 per cent of the variance in work adjustment, 13.4 per cent of the variance in general adjustment, 17.2 per cent in the case of interaction adjustment and 17.5 per cent of the variance in overall adjustment.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
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 head0.039
GPT teacher head0.333
Teacher spread0.294 · 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

Citations36
Published2003
Admission routes1
Has abstractyes

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