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Record W7029843465

L'égalité entre hommes et femmes dans le Coran selon l'interprétation réformiste de Mahmoud Mohamed Taha

2008· other· fr· W7029843465 on OpenAlexvenueno aff

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2008
Typeother
Languagefr
FieldNeuroscience
TopicEEG and Brain-Computer Interfaces
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)International conflictLimitingPretext
DOInot available

Abstract

fetched live from OpenAlex

Prises à la lettre et strictement appliquées par les intégristes musulmans, certaines\ndispositions du Coran vont à l'encontre de l'égalité entre hommes et femmes. Pour\nsa part, Mahmoud Mohamed Taha s'est plutôt attaché à promouvoir cette égalité\nnon pas malgré le Coran mais en raison même d'une compréhension renouvelée\ndu Coran.\nAprès avoir esquissé le contexte global des relations entre islam, modernité, et\ndroits de la personne, ce mémoire évoque les grandes lignes du modernisme\nmusulman dans le secteur du droit pour faire ressortir le caractère original et\naudacieux de l'approche réformiste proposée par Taha. Cette approche sera\nd'abord étudiée de façon globale dans ses principes de base et ensuite dans son\napplication au cas spécifique de l'égalité entre hommes et femmes. Puis, un\nparallèle entre la pensée de John Locke et celle de Taha soulignera leur\nenracinement commun dans le jus naturale et servira de fil conducteur pour\ndégager, en conclusion, la portée actuelle de l'oeuvre de Taha.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.060
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.008
Scholarly communication0.0050.003
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0110.001

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 head0.006
GPT teacher head0.174
Teacher spread0.168 · 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 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

Citations0
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueLibrary and Archives Canada (Government of Canada)→Same topicEEG and Brain-Computer Interfaces→French-language works237,207→