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Record W7118073213 · doi:10.19109/elqonun.v3i2.31421

The Arrangement of Dynastic Politics in Regional Head Elections in Indonesia

2025· article· W7118073213 on OpenAlexaff
Paisol Burlian, Pepni Martabela, Muhamad Rifai

Bibliographic record

VenueELQONUN Jurnal Hukum Ketatanegaraan · 2025
Typearticle
Language
FieldSocial Sciences
TopicIndonesian Election Politics and Participation
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPoliticsDemocracyOrder (exchange)NothingGovernment (linguistics)Democratic system

Abstract

fetched live from OpenAlex

The practice of dynastic politics has been going on for almost 20 years, arguably the first and longest-existing dynasty in Kediri Regency. The research questions in this paper are: how do political dynasties in Indonesia operate and maintain power? And how can political dynasties in Kediri Regency develop? This research explains the origins or history of this dynasty, which began with business affairs and then progressed to politics. In the development of this dynasty, only those closest to the party are capable and able to implement or continue programs that have been created and not yet implemented. Many relatives, from businessmen to officials, from the village to the regional level, are ready to help and serve this dynasty in order to obtain rewards. This dynasty will also continue to occur if the regulations or laws governing a democratic system do not undergo definite changes. Because of its inclusive and closed nature, a political dynasty is very difficult to find fault with. At first glance, there is nothing wrong with dynastic politics, especially when referring to the democratic principle that every citizen has the same right to be elected and to vote. However, it cannot be denied that the political dynasties that have developed so far have harmed the essence of democracy itself.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.801
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.027
GPT teacher head0.347
Teacher spread0.319 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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