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Record W2768692994 · doi:10.5539/jpl.v10n5p48

The Jordanian General Prosecutor Decision No. 1231 of 2008 over the Case of the Dutch Cartoons vs Prophet Muhammad (PBUH) Case

2017· article· en· W2768692994 on OpenAlexvenueno aff
Khaled Abed Alshakhanbeh

Bibliographic record

VenueJournal of Politics and Law · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicFreedom of Expression and Defamation
Canadian institutionsnot available
Fundersnot available
KeywordsIndictmentLawJurisdictionIslamPoliticsPolitical scienceThe InternetNewspaperNationalitySociologyHistoryComputer scienceImmigration

Abstract

fetched live from OpenAlex

In 2005, Dutch cartoonist Kurt Faster Gurt published sketches of Prophet Muhammad (PBUH) in the Jyllands-Posten newspaper as well as in PDF form via its website. The images depicted the Prophet (PBUH) and his companions in what Islamic countries around the world deemed as derogatory at best and blasphemous at worst. This article looks at the decision by the Jordanian General Prosecutor to put on trial Kurt Faster Gurt and his cartoonists in 2008, which opened the flood gates to numerous challenges to domestic cyber laws having international jurisdiction. From Yahoo to YouTube, the Jordanian decision set a precedent for what has become a new world of law and politics, whereby Internet content producers, no matter where in the world they appear , could be held accountable to domestic cybercrime laws. To explain the Jordanian approach, other legal cases are studied in which it is proven that the damage caused by some material available in the Internet may justify the indictment of their authors by national Courts regardless the defendant's nationality or place of residence. Such cases urge States to provide for themselves an adequate legal corpus to be able to cope with these cases and to be able to implement the Court's decisions.

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)0.004
metaresearch head score (Gemma)0.007
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.061
Threshold uncertainty score0.122

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.006
Scholarly communication0.0070.002
Open science0.0010.003
Research integrity0.0130.008
Insufficient payload (model declined to judge)0.0110.002

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 head0.019
GPT teacher head0.320
Teacher spread0.301 · 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
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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