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DEGRADASI FUNGSI LEGISLASI DPRD DALAM SENTRALISASI KEBIJAKAN PENETAPAN RENCANA TATA RUANG WILAYAH DI KABUPATEN/KOTA

2021· article· en· W3204307397 on OpenAlex
Fanda I'aannah, Agus Tri Widodo

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

VenueJurnal Jendela Inovasi Daerah · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Studies and Policies
Canadian institutionsEncana (Canada)WiLAN (Canada)
Fundersnot available
KeywordsWork (physics)LegislatureStatutory lawSpatial planningPolitical scienceGovernment (linguistics)Function (biology)Public administrationNormativeStatus quoLawGeographyEnvironmental planning

Abstract

fetched live from OpenAlex

The issuance of Law Number 11 of 2020 concerning Job Creation has broad implications in various fields/fields, one of which is in the field of determining Regional Spatial Plans in Regencies/Cities. The a quo Law centralizes the policy on the Determination of Regional Spatial Plans in Regencies/Cities. This article addresses three main issues. First, how is the authority of the Regional Government in making arrangements related to the Regency/City Regional Spatial Planning. Second, why centralization is carried out in the determination of Regency/City Regional Spatial Plans. Third, how is the existence of DPRD in implementing the legislative function in determining the Regency/City Spatial Planning. The provisions contained in Law Number 11 of 2020 have an impact on the legislative function of the DPRD which is experiencing degradation. This article uses a normative research method with a conceptual approach and a statutory approach. With the existence of this work copyright law, the regulatory authority has become centralized, although the regions are still given several roles and authorities.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.798
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
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 head0.042
GPT teacher head0.308
Teacher spread0.266 · 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