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Record W4296692191 · doi:10.5539/ass.v18n10p8

Student Political Activism in Nepal: Vanguards of Democracy or Powerless Pawns?

2022· article· en· W4296692191 on OpenAlexvenueno aff
Sharad Chandra

Bibliographic record

VenueAsian Social Science · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSociopolitical Dynamics in Nepal
Canadian institutionsnot available
Fundersnot available
KeywordsNepaliPoliticsDemocracyInstitutionalisationState (computer science)InterdependencePolitical activismPolitical sciencePolitical economySociologyPublic administrationLaw

Abstract

fetched live from OpenAlex

Student political activism declined in the Global South after the 1990s. However, it has remained strong in Nepal despite the fact that it has undergone similar socio-political changes. This paper demonstrates that the main reason for the distinct nature of Nepali student political activism lies in the patron–client relationship between student organizations and political parties. Undoubtedly, the contribution of student organizations in the establishment of democracy in the three major democratic mass movements in Nepal is incomparable. However, the nature of their relationship with their mother political parties transformed from a semi-autonomous to a subordinate relationship after the institutionalisation of a multi-party democracy in 1990. This interdependent relationship is maintained and consistently solidified through the mutual exchange of resources, both material and non-material. This paper concludes that student political activism in Nepal is not expected to decline in the near future, because these patronage-dispensing political parties are perceived to be part of the state by the general Nepali society—one that controls state resources and institutions, including universities and public campuses.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.006
Scholarly communication0.0050.003
Open science0.0000.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.024
GPT teacher head0.401
Teacher spread0.377 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2022
Admission routes1
Has abstractyes

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