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Record W4396241351 · doi:10.1080/23311886.2024.2345930

Capital city relocation in Indonesia: compromise failure and potential dysfunction

2024· article· en· W4396241351 on OpenAlexaboutno aff
Indra Perwira, Susi Dwi Harijanti, Mei Susanto, Muhammad Yoppy Adhihernawan

Bibliographic record

VenueCogent Social Sciences · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicUrban and Rural Development Challenges
Canadian institutionsnot available
FundersUniversitas Padjadjaran
KeywordsRelocationCompromiseBusinessCapital (architecture)GeographyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

The relocation of Indonesia’s capital city from Jakarta to Nusantara in East Kalimantan, as proposed by President Joko Widodo, represents a profound shift in the nation’s urban and political geography. This initiative, founded on development equity and national unity goals, seeks to shift from an ‘evolved city’ framework to a ‘designed city’ model. However, the rapid decision-making process, which lasted only 43 days, and the apparent lack of inclusive public deliberation and participation in critical decisions raises concerns about the democratic underpinnings of this endeavour. Historical precedents from countries such as the United States, Canada, and Australia highlight the benefits of a democratic approach to capital determination, while examples from Nigeria highlight the risks associated with non-democratic processes. For Indonesia, ensuring a democratic, participatory, and inclusive approach is critical not only for successfully relocating the capital but also for preserving the integrative, symbolic, and cultural functions of a capital city. In Indonesia, the hasty passage of the capital city law jeopardizes not only the successful implementation of the relocation but also the integrative, symbolic, and cultural roles that a capital city should play. This paper contends that the absence of democratic and spatial compromise could jeopardize the relocation’s intended goals, putting Indonesia’s new capital’s functional efficacy at risk.

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)0.006
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.015
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.015
Scholarly communication0.0100.007
Open science0.0020.015
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0050.001

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 head0.039
GPT teacher head0.301
Teacher spread0.262 · 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 designQualitative
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

Citations13
Published2024
Admission routes1
Has abstractyes

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