Land Redistribution and Reutilization in the Context of Migration in Rural Nepal
Bibliographic record
Abstract
Land is an integral part of people’s culture, economy, and livelihoods. Social and temporal mobility of people affect land acquisition, distribution, and utilization, which consequently impacts on food security and human wellbeing. Using the data collected by means of household survey, focus group discussions, in-depth interviews, and participant observation, this paper examines the dynamics of land-people relationships, mainly acquisition, redistribution, and reutilization of land, in the context of human migration. The study reveals that food self-sufficiency, household size, age of household head, household asset, total income from non-agricultural sources, and migration status, affect the acquisition or size of landholding in a household. Moreover, land appears to be mobile within and across villages through changes in labour availability, changing access to land, and ethnic interactions caused partly by migration of people. We conclude that mobility of land appears to be an inseparable component of land-people relationships, especially in the context of human migration that offers redistribution and reutilization of land.
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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 | 0.002 | 0.003 |
| Scholarly communication | 0.001 | 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".