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Islam and Human Rights in Indonesia: An Account of Muslim Intellectuals’ Views

2007· article· en· W2042894875 on OpenAlexfundno aff
Ahmad Nur Fuad, A. Arbaiyah, Syafiq A. Mughni, Achmad Jainuri

Bibliographic record

VenueAl-Jami ah Journal of Islamic Studies · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Studies and History
Canadian institutionsnot available
FundersGovernment of Canada
KeywordsHuman rightsUniversality (dynamical systems)IslamIndonesianLawInternational human rights lawPolitical scienceFundamental rightsRight to propertyMoralityDeclarationSociologyCultural relativismPhilosophyTheology

Abstract

fetched live from OpenAlex

The issue of Islam and human rights has become important issue in Indonesia at least since the last two decades. Indonesian Muslims have developed two different approaches to human rights: in complete agreement with the declaration of universal human rights; and in resistance to that declaration and developing understanding that Islam encompasses human rights values. The article argues for its part that human rights are not absolutely universal, because they are based chiefly on Western values, structures, ethics and morality. For that, it is reasonable to question their universality. The present article focuses on how Indonesian Muslim intellectuals conceive of human rights and Islamic values as they perceive the two. Specifically, it focuses on four principal issues in human rights discourse: freedom of opinion, religious freedoms, rights of women, and criminal law. The authors reveal in the conclusion that although some Indonesian Muslim intellectuals admit that universal human rights are truly universal, they still see differences in certain cases, due to differences in socio-cultural background. They have tried to affect a synthesis between the universality and particularity of both Islamic and universal human rights in order to make both fit within the Indonesian context.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.118
Threshold uncertainty score0.956

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.054
GPT teacher head0.376
Teacher spread0.322 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations7
Published2007
Admission routes1
Has abstractyes

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