The Bhutanese Nepali refugees: Their history, struggle, and hopes through the ages
Bibliographic record
Abstract
The Nepali refugees from Bhutan, primarily ethnic Lhotsampas, represent one of South Asia’s most significant refugee crises. In the late 1980s and early 1990s, Bhutan's government implemented policies aimed at cultural homogenization, targeting Nepali-speaking communities through discriminatory citizenship laws, forced evictions, and human rights abuses. Over 100,000 Lhotsampas were expelled and resettled in refugee camps in eastern Nepal, where they lived in legal limbo for decades. Despite cultural ties, Nepal did not offer citizenship or full integration. Beginning in 2007, a large-scale third-country resettlement program relocated over 100,000 refugees to nations including the United States, Canada, and Australia. While many have rebuilt their lives abroad, issues of statelessness, identity, and trauma persist, particularly among those left behind. The crisis underscores broader concerns about ethnicity, state sovereignty, human rights, and the international community’s responsibility to protect vulnerable populations. Durable solutions remain essential for justice and long-term stability.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.011 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 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".