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Record W1585339011 · doi:10.1108/13527600710830331

The increasing complexity of the internationally mobile professional

2007· article· en· W1585339011 on OpenAlexaff
Steve McKenna, Julia Richardson

Bibliographic record

VenueCross Cultural Management An International Journal · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsYork University
Fundersnot available
KeywordsOriginalityValue (mathematics)Public relationsBusinessPolitical scienceKnowledge managementManagement scienceComputer scienceEngineeringLaw

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to develop a research agenda and raise practical issues relating to the increasing complexity of the internationally mobile professional. Design/methodology/approach The paper considers the developing issues in the use of alternative forms of international assignment (short-term, commuter, flexpatriate) and the existence of the independent internationally mobile professional and raises questions for research and practice. Findings The paper suggests that alternative forms of international assignment and assignee are under- researched. Additionally, the large number of independently mobile professionals in the global economy need to be further researched, while organizations should recruit for international assignments from the external as well as internal labour markets when circumstances allow. Originality/value The paper raises under-researched questions in the study of international assignments and suggests more strategic approaches to the practice of managing international assignments.

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)0.006
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.013
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.009
Scholarly communication0.0100.007
Open science0.0010.009
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0130.001

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 head0.062
GPT teacher head0.429
Teacher spread0.367 · 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 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

Citations98
Published2007
Admission routes1
Has abstractyes

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