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Record W4411397626 · doi:10.53762/my7bvb14

10.53762/my7bvb14

2000· article· en· W4411397626 on OpenAlexvenueno aff
Rizwan Younas

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsnot available
Fundersnot available
KeywordsInheritance (genetic algorithm)IslamWifeDaughterGender studiesSociologyNatural (archaeology)LawShariaPolitical scienceGenealogyHistoryGeneticsBiology

Abstract

fetched live from OpenAlex

Islam is a natural religion which deals with all the aspects of human life, whether individual or social. Islam emphasis on the bringing up girls which was not allowed in Arabian society, before Islam. Prophet Muhammad (SAW) promised the one who brings up his daughters properly that he would be very close to him in Jannah. Islam terminated the discrimination between sons and daughters in various ways and ensured the rights of women whether as a mother, wife or daughter. But in the current age, women have been again denied their basic rights, including inheritance. There are several reasons behind this issue, which lead to deprivation of women from inheritance. Efforts have been made in this article to highlight these reasons. This article also deals with the religious, social and domestic issues regarding women’s inheritance. Efforts have also been made to suggest the ways to address these problems and to pave a way to the betterment of inheritance matters as laid down in the teaching of Quran and Sunnah.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.020
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.003
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.9800.984

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 head0.006
GPT teacher head0.162
Teacher spread0.157 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
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

Citations0
Published2000
Admission routes1
Has abstractyes

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