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Record W4399825869 · doi:10.1515/9782763795461

La mort musulmane en contexte d’immigration et d’Islam minoritaire

2011· book· fr· W4399825869 on OpenAlexaboutno aff
Khadiyatoulah Fall

Bibliographic record

Venuenot available
Typebook
Languagefr
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsnot available
Fundersnot available
KeywordsIslamSociologyPolitical sciencePhilosophyTheology

Abstract

fetched live from OpenAlex

Cet ouvrage constitue les actes du colloque international et interdisciplinaire tenu à Chicoutimi sur la problématique de la mort musulmane en contexte d’immigration et d’islam minoritaire par la Chaire d’enseignement et de recherche interethniques et interculturels (CERII), en collaboration avec le Célat, les 7 et 8 octobre 2010. L’objectif de ce colloque, le premier à se tenir au Canada sur ce thème, était de faire un état des lieux des questionnements scientifiques, sociaux, religieux, culturels et identitaires que soulève la mort dans les communautés musulmanes en contexte d’immigration ainsi que des tensions, négociations, adaptations et « accommodements » qu’elle suscite en contexte d’islam minoritaire au Québec et ailleurs en Occident. Les textes de cet ouvrage illustrent l’importance d’un nouveau chantier de recherche dans les études sur la présence de la religion musulmane au Québec ainsi que les défis de l’interculturalité et du vivre-ensemble qu’il porte. En plus d’une participation significative des intervenants sociaux et des représentants des cultes, le colloque a réuni d’éminents chercheurs de différents pays (France, Suisse, Maroc et Québec) et de disciplines scientifiques variées (sociologie, anthropologie, sciences du langage, sciences religieuses, sciences de la communication, sciences politiques, etc.). Auteurs : Khadiyatoulah Fall (Québec), Mamadou Ndongo Dimé (Québec), Stéphane Lathion (Suisse), Atmane Aggoun (France), Mostafa Brahami (Suisse), Said Maghnaoui (Maroc), Aline Degorce (Burkina Faso), Jean-Jacques Lavoie (Québec), Nicole Bouchard (Québec), Mohamed Zéhiri (Québec) Jean-René Milot (Québec), Frédéric Castel (Québec) et Raymonde Venditti (Québec).

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)0.003
metaresearch head score (Gemma)0.003
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: Other · Consensus signal: none
Teacher disagreement score0.546
Threshold uncertainty score0.913

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0240.022
Scholarly communication0.0050.002
Open science0.0010.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.000

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 head0.092
GPT teacher head0.391
Teacher spread0.300 · 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
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

Citations5
Published2011
Admission routes1
Has abstractyes

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