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Record W3174360344 · doi:10.53337/jhki.v1i01.4

ETIKOLEGAL HAK MENOLAK PERAWATAN PADA MASA PANDEMI: PERTENTANGAN HAK INDIVIDU DAN MASYARAKAT

2021· article· id· W3174360344 on OpenAlexaff
Hari Pudjo Nugroho

Bibliographic record

VenueJURNAL HUKUM KESEHATAN INDONESIA · 2021
Typearticle
Languageid
FieldSocial Sciences
TopicLegal and Policy Analysis in Indonesia
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Abstrak
 Hak partisipatif pasien untuk menolak atau menerima sebagian atau seluruh perawatan yang akan diberikan kepadanya menjadi dasar dari hak-hak lainnya yang diatur oleh undang-undang. Tidak kurang mulai Undang-Undang Dasar Negara Republik Indonesia sebagai grundnorm (norma tertinggi) sampai dengan peraturan perundangan tentang kesehatan sebagai norm (jenjang norma dibawahnya)Hak partisipatif ini juga menjadi salah satu bagian penting dalam deklarasi Stockholm 1972 yang berkembang melalui berbagai instrument hukum internasional diatur serangkaian hak yang sangat luas, salah satunya adalah hak untuk menentukan nasib sendiri dan hak atas informasi dan berkomunikasi. Di masa pandemic covid19 yang penularannya sangat mudah ditransmisikan antar manusia, hak pasien untuk menerima atau menolak sebagian atau seluruh pengobatan maupun perawatan pada dirinya ditiadakan karena demi melindungi hak orang lain dan masyarakat agar tidak tertular pasien tersebut. Prinsip keadilan ini jelas-jelas melanggar hak dasar manusia yang sudah diatur dalam Undang-Undang Dasar Negara Republik Indonesia 1945. Hak partisipatif pasien tidak menghilangkan tanggungjawab pasien untuk tidak menularkan penyakitnya kepada orang lain. Tanggungjawab pasien ini sudah diatur dalam peraturan perundangan yang ada, bahkan sampai penjeraan pidana yang sifatnya ultimum remidium.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.435
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.004
Science and technology studies0.0040.002
Scholarly communication0.0030.002
Open science0.0030.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.027
GPT teacher head0.293
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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
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
Published2021
Admission routes1
Has abstractyes

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