The Nepalese Diaspora and Adaptation in the United States
Bibliographic record
Abstract
The Nepalese in the United States of America (USA) are an emerging diasporic community. In spite of the phenomenal growth of the Nepalese diaspora in the USA in the last more than two decades, little is known about this new diasporic community, especially regarding how the Nepalese adapt to American life. This study documents the rapid growth in Nepalese immigration to the USA in the twenty-first century, based on data from the U.S. Department of Homeland Security. Using the data from an online survey, it analyzes the experiences of the Nepalese in cultural adaptation, structural adaptation, marital adaptation, identificational adaptation, and receptional adaptation. The results show that although the Nepalese have become partly assimilated to American culture, they still to a large extent retain their ethnic culture, ethnic association, ethnic identity, and ethnic marital partners, and they have had mixed experiences of prejudice and discrimination. The findings have significant scholarly and practical implications.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".