Comprendre le cycle émotionnel des expatriés de longue durée pour mieux le gérer
Bibliographic record
Abstract
Résumé La vie des expatriés de longue durée traverse une série d’étapes assez prévisibles. Ils vivent d’abord une période d’exaltation, à laquelle succède une phase dépressive. Ayant réussi à composer avec la réalité du pays d’accueil lorsqu’ils se rapprochent de la fin de leur mandat, ils rentrent chez eux pour découvrir un choc inattendu, celui du retour. Dans cet article, nous vous proposons de découvrir ces différentes phases de la vie des expatriés de longue durée. Ensuite, afin d’optimiser les retombées et de minimiser les inconvénients de l’expatriation sur les plans individuel et organisationnel, nous formulons des recommandations destinées aux employés expatriés ainsi qu’aux entreprises qui recourent à leurs services.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".