Reactive Adjustment or Proactive Embedding? Multistudy, Multiwave Evidence for Dual Pathways to Expatriate Retention
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.
Bibliographic record
Abstract
The dominant perspective on expatriation characterizes the process as a continuing adaptation to existing job demands on an international assignment. Another, less studied perspective, emphasizes that expatriates can initiate tactics to acquire task, interpersonal, and affective resources for shaping their assignment experiences. Adopting a positive organizational scholarship lens and drawing on the job demands–resources model, we simultaneously examine both of these reactive demand‐based and proactive resource‐based pathways to expatriate retention. We propose that cross‐cultural uncertainty demands and expatriate‐initiated resource acquisition tactics both influence adjustment and embeddedness. Thus embeddedness works alongside adjustment to drive expatriates’ plans to remain in the international position, which in turn leads to actual retention. Using evidence from 2 separate panel studies (one with 2 waves and the other with 4 waves of data), we demonstrate the importance of the resource‐based pathway for expatriate assignments.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it