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Record W2736004318 · doi:10.31078/jk765

Pencemaran Nama Baik Melalui Sarana Informasi dan Transaksi Elektronik (Kajian Putusan MK No. 2/PUU-VII/2009)

2016· article· en· W2736004318 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

VenueJurnal Konstitusi · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicLegal and Social Justice Studies
Canadian institutionsDalsa Corporation
Fundersnot available
KeywordsObligationHonorConstitutionLawMaliceElement (criminal law)Political scienceDatabase transactionState (computer science)Computer scienceInternet privacyDatabase

Abstract

fetched live from OpenAlex

Libel crime is an offence attacking the honor and image of person. There are at least two elements in the libel crime in which a judge has an obligation to prove them, subjective and objective element as well as malice. An offender cannot be blamed for his/her conduct unless he/she commits these elements. In the term of article 27 (3) of electronic transaction and information act no 11 of 2008, its content is still in accordance with the rule of law conception and several articles of Indonesia Constitution of 1945 dealing with some fundamental rights of citizen and the right of freedom to express and to obtain information. State has untitled to make any limitation by prohibiting certain activities attacking the honor and image of person which is based on the same rights of the same freedom.

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)0.001
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: none
Teacher disagreement score0.968
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.015
GPT teacher head0.276
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