An episodic framework of outgroup interaction processing: Integration and redirection for the expatriate adjustment research.
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
Cross-cultural research has traditionally emphasized predicting adjustment, treating it as a level to be achieved more than a change process to be understood and controlled. The lack of focus on process integration has inhibited our understanding of precisely why and how adjustment processes unfold and ultimately cause (dys)functional change in criteria. In response, we review the motives and processes of cross-cultural adjustment and integrate these into a theoretical framework, examining the discrete episode of expatriate-host national interaction as the focal vehicle for change. First, we synthesize the general causal sequence within an interaction episode. We then summarize state inputs that condition processing. Next, we describe identity management and learning processing in depth. Then, we discuss key interactions among the motive and processing categories. Finally, we orient the cross-cultural interaction episode within the nomological network of cross-cultural adjustment predictors and criteria. This framework prescribes that an expatriate should initially reduce acculturative stress through repeated, functional identity management and learning processing of novelty encountered in cross-cultural interaction episodes. To do so, one must avoid inhibitory input states and the many potential processing failures identified here. If the expatriate experiences enough such functional interaction episodes, a "Stage 2" is reached where the motive to reduce stress has been largely overcome, and thereafter, interaction episode processing proceeds more functionally in general. (PsycINFO Database Record
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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