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Record W1989479287 · doi:10.5539/ass.v5n6p3

Internally Displaced Persons in Nepal: Neglected and Vulnerable

2009· article· en· W1989479287 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueAsian Social Science · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicHydropower, Displacement, Environmental Impact
Canadian institutionsMount Royal UniversityRoyal College of Physicians and Surgeons of Canada
Fundersnot available
KeywordsInternally displaced personGeopoliticsDisplaced personPolitical scienceGovernment (linguistics)International communityArmed conflictDevelopment economicsEconomic growthDisplacement (psychology)RefugeePoliticsLawPsychologyEconomics

Abstract

fetched live from OpenAlex

This article examines Nepal’s policies regarding internally displaced persons (IDPs), and aid efforts by international aid agencies and donors. Ten years of conflict (1996-2006) between the Nepal government and the Maoists was a main cause of the displacement of many people. Although the international community acknowledged that the armed conflict between Maoist forces and Nepal security forces contributed significantly to the displacement, the crisis did not receive enough international attention until recently. Ongoing violence in some districts of Nepal continues to pose major challenges to many returnees and to the peace process. The contradictions and tensions existing within Nepal’s IDP policies create further strains, especially on individuals and families displaced by Nepal security forces. Researchers, policy makers, and international agencies need to be aware of the geopolitical factors that could endanger the effectiveness of aid distribution to displaced Nepalese.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.891
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.012
GPT teacher head0.384
Teacher spread0.371 · 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