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Record W2748896932 · doi:10.5539/jpl.v10n4p29

Participatory Constitution-Building in Nepal – A Comparison of the 2008-2012 and the 2013-2015 Process

2017· article· en· W2748896932 on OpenAlexvenueno aff
Abrak Saati

Bibliographic record

VenueJournal of Politics and Law · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsnot available
FundersVetenskapsrådet
KeywordsConstitutionEliteNegotiationPoliticsCitizen journalismPolitical scienceDemocracyAuthoritarianismPublic participationPublic administrationLawSociologyPolitical economy

Abstract

fetched live from OpenAlex

Participatory constitution-building is a trend that appears to be here to stay; particularly when new constitutions are drafted in the aftermath of war or during transitions from authoritarian to democratic rule. Anticipations as to what the involvement of the public will achieve are several, and scholars are only recently starting to systematically investigate whether or not these expectations find empirical support. Previous research has shown that public participation in the making of the constitution can have certain positive effects at an individual level of analysis, but that the actions of political elites during constitutional negotiations might affect outcomes at a macro level of analysis more than what has hitherto be acknowledged in this strand of research. Nepal is one of the most recent cases of participatory constitution-building, and the country carried out not only one, but two, such processes within a time period of only seven years. The first resulted in failure as a draft constitution was never finalized; the other in success with the adoption of a constitution in 2015. This article takes an interest in exploring and comparing these two separate processes as regards the extent of public participation vis-à-vis political elite negotiations and bargaining behind closed doors. The article finds that what primarily sets the two processes apart, is how broad based public participation and secluded elite negotiations were sequenced. In light of other empirical examples, the article also discusses if elite bargains ought to be struck before the general public are invited to participate.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.741
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
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 head0.053
GPT teacher head0.393
Teacher spread0.340 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations18
Published2017
Admission routes1
Has abstractyes

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