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Record W4399296679 · doi:10.31078/consrev1012

Local Chief Executive Political Accountability In Indonesia: A Historical-Legal Analysis

2024· article· en· W4399296679 on OpenAlexaff
Ahsanul Minan, Satya Arinanto, Djohermansyah Djohan

Bibliographic record

VenueConstitutional Review · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicIndonesian Election Politics and Participation
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsAccountabilityPoliticsPolitical sciencePublic administrationLaw

Abstract

fetched live from OpenAlex

This paper discusses the local chief executive’s (LCE) political accountability in the Local Government Acts (LGAs). Using historical and theoretical approaches, this article examines the influence of the political interests of the regimes on the changes of provisions on LCE’s political accountability in the LGAs from 1945 to date. The LCE was accountable to the local council (DPRD) from 1945-1958 and 1999-2004; and to the central government from 1959-1998. While since 2004, the LCEs are only had to report -but not be accountable- to the Central Government, local council and the local community. Two important academic questions arise when dealing with this phenomenon. First, to what extent are the political interests of the democratic and authoritarian regimes shaped the changes of provisions on LCE political accountability in the LGAs? Second, how do the provisions conform to the accountability principles? This study’s result shows that the rulers’ political orientation shaped the LCEs’ political accountability system and ignored the principles of accountability, leading to the inconsistent institutional design of LCE accountability. Furthermore, the LGA has yet to regulate the electoral/political accountability of LCEs, which should be a consequenceof adopting the LCE direct election. We recommend precise arrangements on the accountability principle in the Constitution to avoid the politicization of laws by legislators according to their political interests and improve the role of Citizens through a recall petition to strengthen the enforcement mechanisms.

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: none
Teacher disagreement score0.985
Threshold uncertainty score0.660

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
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 head0.040
GPT teacher head0.373
Teacher spread0.333 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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