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Record W4229680516 · doi:10.31219/osf.io/4dpjb

Mahkamah Konstitusi sebagai Neutralizer terhadap Lembaga Politik

2019· preprint· id· W4229680516 on OpenAlexaff
Ali Marwan Hsb

Bibliographic record

Venuenot available
Typepreprint
Languageid
FieldSocial Sciences
TopicIndonesian Legal and Regulatory Studies
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Sebelum dibentuknya Mahkamah Konstitusi semua proses penting di negeri ini sarat dengan muatan politik, seperti tidak adanya mekanisme pengujian undang-undang, pembubaran partai politik secara sepihak dari Presiden dan impeachment Presiden dilakukan dengan alasan yang subjektif dan multitafsir. Metode penelitian yang digunakan pada penulisan ini menggunakan metode penelitian normatif dengan dua pendekatan yaitu pendekatan sejarah dan pendekatan peraturan perundang-undangan. Hasil penelitian menunjukkan bahwa setelah dibentuknya Mahkamah Konstitusi semua proses penting yang selama ini menjadi wewenang lembaga politik dan dilaksanakan sarat dengan muatan politik menjadi kewenangan Mahkamah Konstitusi. Diharapkan di masa yang akan datang proses penting di negeri ini dilaksanakan sesuai hukum yang berlaku. Mengingat begitu besarnya kekuasaan yang diberikan kepada Mahkamah Konstitusi, untuk masa yang akan datang untuk mengisi posisi Hakim Konstitusi tidak diberikan lagi kepada lembaga-lembaga politik melainkan kepada suatu komisi yang terdiri dari ahli-ahli hukum tata negara yang berkompeten dibidangnya

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0290.004

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 head0.287
Teacher spread0.260 · 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 designNot applicable
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".

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Citations2
Published2019
Admission routes1
Has abstractyes

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