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Record W2900737011

The Organization of the Hajj and the State: Cohesion and Rivalries within the Muslim Community of Côte d'Ivoire (1993-2006)

2016· article· en· W2900737011 on OpenAlexaff
Frédérick Madore

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicReligion and Sociopolitical Dynamics in Nigeria
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHajjPilgrimageIslamPoliticsPolitical scienceOpposition (politics)LoyaltyState (computer science)CONTESTPolitical economySociologyLawGeographyAncient historyHistory
DOInot available

Abstract

fetched live from OpenAlex

The importance of the hajj for Muslims and the considerable sums of money devoted to it arouse the envy of both religious and political actors. Thus, it is not surprising that since independence many West African states have often played a central role in the organization of the Muslim pilgrimage. In this regard, the case of Côte d'Ivoire is very interesting since the state recognized the Association Musulmane pour l'Organisation du Pèlerinage as the first official pilgrimage organizing association of the country in 1978. The aim of this communication is twofold. On the one hand, it shows how the planning of the hajj has been a vector of unity for Ivorian Islam. At the same time, it has fostered intense rivalries between several associations and Muslim leaders struggling for economic, religious and symbolic resources. On the other hand, the supposedly secular state has played a murky role in this business. The different Ivoirian political regimes from 1993 to 2006 have alternated between a policy of engagement and withdrawal. These strategies have allowed the ruling party to use patronage as an instrument to ensure the loyalty of some Muslim elites and to reduce the influence of other organizations and leaders suspected of being close to the opposition.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.206
Threshold uncertainty score0.410

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.003
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.231
Teacher spread0.224 · 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 designQualitative
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
Published2016
Admission routes1
Has abstractyes

Explore more

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