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Record W1904550297

Migration to and from the terai: shifting movements and motives

2013· article· en· W1904550297 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueData Archiving and Networked Services (DANS) · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicSociopolitical Dynamics in Nepal
Canadian institutionsCanadian Mennonite UniversityUniversity of Manitoba
Fundersnot available
KeywordsGeographyEthnographyPopulationPovertyArable landFocus groupWork (physics)Internal migrationMovement (music)SocioeconomicsQualitative researchEconomic growthDevelopment economicsPolitical scienceSociologySocial scienceEngineeringAgricultureEconomicsArchaeologyDemography
DOInot available

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.019
GPT teacher head0.287
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it