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Record W3103011161 · doi:10.5539/jpl.v13n4p181

Causality in the Crime of Willful Murder by Transmission of Coronavirusin the Jordanian Legislation

2020· article· en· W3103011161 on OpenAlexvenueno aff
Saleem Isaaf Alazab

Bibliographic record

VenueJournal of Politics and Law · 2020
Typearticle
Languageen
FieldHealth Professions
TopicMedical Malpractice and Liability Issues
Canadian institutionsnot available
Fundersnot available
KeywordsLegislatorLegislationCriminologyTransmission (telecommunications)Causality (physics)LawPolitical sciencePsychologyComputer science

Abstract

fetched live from OpenAlex

Article (326) of the Jordanian Penal Code does not differentiate between methods of willful murder. These methods include transmission of Covid-19, where such type of disease is considered contagious under Article (17) of Jordanian Public Health Law No. (47) of 2008. However, medical science has not certainly proven that the transmission of the virus to a victim is a viable method of infection that definitely causes death. This is since this result (death) might happen a long time after transmission of coronavirus to a victim. It is difficult for the legislator to draft clear provisions that take into account the various circumstances of the willful murder and its sophisticated methods. Therefore, the trial judge is required to verify the existence of the causal relationship in each willful murder case based on its relevant circumstances.

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)0.010
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.035
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.002
Science and technology studies0.0090.017
Scholarly communication0.0080.007
Open science0.0010.005
Research integrity0.0080.006
Insufficient payload (model declined to judge)0.0100.001

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 head0.076
GPT teacher head0.418
Teacher spread0.342 · 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 designTheoretical or conceptual
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
Published2020
Admission routes1
Has abstractyes

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