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Record W591119285

Interpreting divorce laws in Islam

2012· book· en· W591119285 on OpenAlexaboutno aff
Rubya Mehdi, Werner F Menski, Jørgen S. Nielsen

Bibliographic record

VenueMedical Entomology and Zoology · 2012
Typebook
Languageen
FieldSocial Sciences
TopicMarriage and Sexual Relationships
Canadian institutionsnot available
Fundersnot available
KeywordsIslamLawEconomic JusticeSociologyPoliticsShariaPolitical scienceImmigrationHistory
DOInot available

Abstract

fetched live from OpenAlex

Acknowledgements List of Contributors Interpreting Women's Right of Divorce Theoretical Reflections Chapter 1. Interpreting Divorce Laws in Pakistan - by Muhammad Khalid Masud Chapter 2. The Politics of Divorce Laws in Iran - by Ziba Mir-Hosseini Chapter 3. Egyptian Khul: Legal Reform, Courtroom Practices and Realities of Women - by Mulki Al-Sharmani Chapter 4. Justice for Everyone? Implementation of Morroco's 2004 Mudawana Reforms - by Rachel Newcomb Chapter 5. Divorce at the Woman's Initiative in India, in Pakistan and in the Diasporas - by Livia Holden Chapter 6. The Right to Divorce for Women (Khul) in Islam: Comparative Practices in Mauritania and Egypt - by Corinne Fortier Chapter 7. Muslim Divorces in Denmark - Findings from an Empirical Investigation - by Anika Liversage Chapter 8. In the Shadow of the Law - by Ralph D. Grillo Chapter 9. No-Fault Talaq: Divorce in Canadian Immigration and Family Law - by Pascale Fournier, Aida Setrakian og Pascal McDougall Chapter 10. Muslim Women, Divorce and Shari'ah Councils in Britain - by Samia Bano Chapter 11. Muslim Divorce Law Reform in Secular India - by Tahir Mahmood Chapter 12. Divorce - how Danish Law became liberal, and what to do now? - by Annette Kronborg & Idamarie Leth Svendsen

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.616
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.026
GPT teacher head0.336
Teacher spread0.310 · 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 designTheoretical or conceptual
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

Citations25
Published2012
Admission routes1
Has abstractyes

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