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Record W4214659310 · doi:10.31933/unesrev.v4i3.232

The SOLUSI POTRET PROBLEMATIKA MATERI MUATAN REGULASI DALAM PENANGANAN COVID-19 DI INDONESIA

2022· article· en· W4214659310 on OpenAlex

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

VenueUNES Law Review · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCOVID-19 Prevention and Impact
Canadian institutionsImpact
Fundersnot available
KeywordsGovernment (linguistics)PandemicCoronavirus disease 2019 (COVID-19)NormativeConstitutionPolitical scienceParagraphLawQuarantineLegislaturePublic administrationBusinessMedicine

Abstract

fetched live from OpenAlex

The COVID-19 pandemic has had a tremendous impact, ranging from the economic crisis to public health, which is the government's focus in minimizing the impact of the Covid-19 pandemic. The type of research used in this research is juridical-normative. And the purpose of this research, namely; 1) describe the regulations issued by the Central and Regional Governments in dealing with the Covid-19 Pandemic, 2) and describe solutions to overcome regulatory problems issued by the Central and Regional Governments during the Covid-19 Pandemic. The government in issuing several regulations looks inconsistent, for example; the difference in the definition of PSBB as regulated in PP No. 21 of 2020 with that regulated in the Quarantine Law. Then, regarding the Instruction of the Minister of Home Affairs Number 15 of 2021 which is considered to have neglected the regulations above. Problems with existing regulations, the government needs to break the chain of spread of the Covid-19 pandemic with the product of regulations based on the Tiered Law Theory by Hans Nawiasky. This theory then when associated with problems in Indonesia can make Article 34 paragraph (3) of the 1945 Constitution and Law no. 6 concerning Health Quarantine is a reference for the government in formulating the rules under it, in matters relating to regulations during the Covid-19 pandemic so that it becomes a solution in overcoming the regulatory problems of handling the Covid-19 pandemic.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.945
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.048
GPT teacher head0.378
Teacher spread0.330 · 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