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Record W4393226019 · doi:10.3126/ejdi.v37i1.63918

Data Don’t Lie: A Comparative Study of Nepal’s Development under Absolute Monarchy and Post-Monarchy Democratic Era

2024· article· en· W4393226019 on OpenAlex
Manoj Kumar Yadav, Devid Kumar Basyal, Indra Prasad Bhusal, Chad Anderson

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

VenueEconomic Journal of Development Issues · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSociopolitical Dynamics in Nepal
Canadian institutionsQuest University Canada
FundersUNICEF
KeywordsMonarchyAbsolute monarchyDemocracyAbsolute (philosophy)Ancient historyConstitutional monarchyPolitical scienceHistoryPhilosophyLawTheologyPolitics

Abstract

fetched live from OpenAlex

Correction: On 24/04/2025, the updated PDF was loaded because it was found that some of the figures were inadvertently repeated and misplaced. A widespread perception among the Nepalese people is that Nepal was in a better position in terms of development during the party-less Panchayat political system under the absolute monarchy from 1960 to 1990 than in the post-Panchayat democratic period after 1990. This article presents a comparative study of major development indexes during the Panchayat and post-Panchayat periods and aims to clarify the origins and reality of this perception. Data were obtained and analyzed using secondary global sources such as UNICEF, UNFPA, UNESCO, Education Statistics, World Bank, etc. Further comparison is made with corresponding Indian indexes for a better assessment of development after the emergence of globalization. The comparison shows that, contrary to the common perception, Nepal is in a much better development position in most of the indexes in the post-Panchayat democratic period.

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.340
Threshold uncertainty score0.873

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.085
GPT teacher head0.396
Teacher spread0.310 · 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