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Record W2162516576

The Role of Islamic Shari’ah in Protecting Women’s Rights

2009· article· en· W2162516576 on OpenAlexaff
Omar Ha-Redeye

Bibliographic record

VenueSSRN Electronic Journal · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsDeclarationHuman rightsPolitical scienceLawConnotationIslamShariaPhilosophyTheology
DOInot available

Abstract

fetched live from OpenAlex

On Dec. 10, 2008, the international community celebrated the 60th anniversary of the Universal Declaration of Human Rights (UDHR). The UDHR is championed as recognition around the world of ideals that U.N. member nations strive to achieve. But the UDHR is paradoxically neither universally recognized nor universally accepted. A specific reaction arising from the formation of the UDHR is the Cairo Declaration of Human Rights in Islam (CDHRI) on August 5, 1990. Members of the CDHRI felt that this statement better encapsulated their notion of basic human rights, especially as defined by shari’ah law. In the Western world shari’ah is often associated with a negative connotation, especially in relation to women’s rights. These same critiques have been directed to the CDHRI. At the same time, shari’ah is taking a more central position in the world stage, both for Western countries with domestic minorities of Muslims, and in Muslim majority countries. This paper will review whether the CDHRI and shari’ah can address areas of concern and meet standards in the UDHR within the legal framework. The enormous flexibility afforded to Shari’ah does allow the gap between common practices as human rights ideals to be closed, and in some instances Shari’ah continues to provide more rights to women than in the Christian tradition or UDHR.

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)0.007
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.029
Scholarly communication0.0060.004
Open science0.0010.004
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0050.001

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 head0.004
GPT teacher head0.254
Teacher spread0.250 · 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
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
Published2009
Admission routes1
Has abstractyes

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