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A Preliminary Research on Self-Initiated Expatriation as Compared to Assigned Expatriation UNE RECHERCHE PRÉLIMINAIRE SUR L'EXPATRIATION AUTO-INITIÉE PAR RAPPORT À L'EXPATRIATION AFFECTÉE

2010· article· fr· W2158048486 on OpenAlexvenueno aff
Hu Mo, Jianming Xia

Bibliographic record

VenueCanadian social science · 2010
Typearticle
Languagefr
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPsychologySociologySocial psychologyManagementPhilosophyEconomics

Abstract

fetched live from OpenAlex

The ever changing complexity of global staffing calls for a fundamental reassessment of international assignment, among which self-initiated expatriation is one of the burgeoning patterns. This paper discusses the basic characteristics of self-initiated expatriates compared with those who known as assigned expatriates, and finds out that the new born group of expatriates not only differ with those assigned expatriates in the visible, or called the “outside” part, as the technical skill set, career boundary, career stages, financial support, and time boundary, etc; but more important, the inherent, or called the “inner” part, as for motivation, information focus and value concern, and so on. Moreover, it reveals the so far neglected cross-cultural adjustment abilities of SIE and gives advice for human resource management practice. Keywords: Expatriation; Self-initiated expatriates; Assigned expatriates Resume: La complexite du personnel global est en constante evolution et elle exige une reevaluation fondamentale de l’affectation internationale, dont l'expatriation auto-initiee est l'un des modeles en plein essor. Cet article examine les caracteristiques de base des expatries auto-inities par rapport a ceux qui sont connus sous le nom des expatries affectes, et decouvre que le nouveau groupe des expatries different avec des expatries affectes non seulement dans le visible, ou la partie exterieure autrement dit, comme competences techniques definies, contraintes de carriere, etapes de carriere, soutien financier et limite de temps, etc, mais ce qui est plus important, c’est l’inherent, ou sous l'appellation la partie «interne», comme motivation, information ciblee, conception des valeurs, et ainsi de suite. En outre, il revele les capacites de l'adaptation interculturelle des expartries auto-inities, ce qui est pour lontemps neglige et donne des conseils pour la pratique de gestion des ressources humaines.Mots-cles: Expatriation; expatries auto-inities; expatries affectes

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)0.021
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.145
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.010
Science and technology studies0.0070.001
Scholarly communication0.0010.002
Open science0.0020.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.237
GPT teacher head0.435
Teacher spread0.198 · 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.

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

Citations10
Published2010
Admission routes1
Has abstractyes

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