The Translocal Sherpa From Everest Mountain Region to New York City
Bibliographic record
Abstract
This chapter explores the translocal connectivity of the Sherpa community from the Everest region to Kathmandu in Nepal until New York City in the United States. Grounded in geography, the research is based on in-depth interviews and multi-sited fieldwork to examine Sherpas&s; transmigration and its impact on the environment and development of their native region. Sherpas are historical trans-Himalayan seasonal migrants and became more recently permanent transnational ones as they form a visible diaspora in New York City. This study reveals a high level of connection between Nepal and United States through financial, social and even environmental remittances engaged by “translocal sherpas.” To characterize the intricate connections between international migration and local transformation, three layers of networks have been identified: (i) the key role of sponsorship, (ii) the active association Sherpa kiydug and (iii) the intense use of digital media. Those physical and virtual ties transcend the boundaries of home and host countries, collectively forming a substantial aspect of “translocality.”
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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".