Migration to and from the terai: shifting movements and motives
Bibliographic record
Abstract
In Nepal, the historical evidence shows that migration to the terai increased after the eradication of malaria in the late 1950s and has been increasing ever since. More recently, however, out-migration from the terai is rapidly increasing. By applying both qualitative and quantitative research methods, in-depth qualitative interviews, focus group discussions and household survey were used for data collection, with considerable inputs from ethnographical fieldwork for about 21 months. The paper presents three types of population flows in the historical pattern. First, the history of Nepal as an arena of population movement; second, the gradual opening up of the terai, leading to the hills-terai movement; and the third, the current outward flow as an individual migration for work. The paper exemplifies that poverty and lack of arable land are not the only push factors, but that pursuing a better quality of life is gaining importance as a migration motive. We conclude that like movements of people, their motives for moving are also not static and cannot be taken for granted.
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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 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 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".