Public Culture A United States and Asia Comparison: The Role Emotion Display Migrant Labour of Performance Individual (Evidence from Indonesia)
Bibliographic record
Abstract
This study explores the relationship between emotional immigrant labor and burnout in the context of individualist versus collectivist culture. Based on immigrant labor samples working in the United States and in east and central Asian countries, the results show that: (1) Migrant labor emotions that pretend are positively related to burnout in individualist culture and collectivism. (2) The othentic Migrant labour emotions are negatively related to burnout of individualist culture and collectivism. (3) Emotional pretensions are positively related to individual performance in the culture of collectivism. (4) There is no difference in the relationship between emotional appearance and performance in individualist culture and collectivism. (5) Working for an individualist culture company is more likely to cause burnout than a culture of collectivism. This finding shows the differences in eastern (Asian) and western (American) cultures, but the view of culture is dynamic.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".