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Record W3041701425 · doi:10.51506/al-qalam.v25i1.673

Laws of Blasphemy in Non-Muslim Countries An Analytical Study

2020· article· id· W3041701425 on OpenAlexaboutno aff
Farooq Abdullāh, Muhammad Faiz Abdullah

Bibliographic record

VenueAl Qalam Jurnal Ilmiah Keagamaan dan Kemasyarakatan · 2020
Typearticle
Languageid
FieldComputer Science
TopicHate Speech and Cyberbullying Detection
Canadian institutionsnot available
Fundersnot available
KeywordsBlasphemyLawPolitical scienceFreedom of religionContemptLegislationHatredApostasyIncitementHuman rightsIslamPhilosophyTheologyPolitics

Abstract

fetched live from OpenAlex

A blasphemy law is a law relating to blasphemy or irreverence towards holy prophets or beliefs or traditions. These laws may forbid: the vilification of religion, religious insults, defamation of religion, denigration of religion, offending feelings, or the contempt of religion. In some jurisdictions, blasphemy laws include hate speech laws that extend beyond prohibiting the imminent incitement of hatred and violence. This study examines the Blasphemy laws of UK, the USA, Canada, France, Denmark, Norway, Israel, Australia, Germany, Austria, Brazil, Ireland, Greece, Malta and Zimbabwe. Blasphemy law has been implemented almost in all the non-Muslim countries especially where legislation is based on the divine scriptures or Bible. This study proves that these non-Muslim countries still retain blasphemy and related laws. The existence of these rules in these countries proves that blasphemy is still a crime according to their own laws. The Western jurisdictions retain such laws in their books and some have even enforced them in recent years. Also there have been some prosecutions recently. This study proves the insincerity of the non-Muslim countries who, despite the presence of these laws in their own countries, force Muslim countries to eradicate such laws which are related to Tāūẖyn-y-Risāʾlāt or Blasphemy in Muslim Countries in the name of freedom of Speech.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.381
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.003
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.278
Teacher spread0.254 · 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 teacher head, not a consensus.

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
Published2020
Admission routes1
Has abstractyes

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