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Record W2159456350 · doi:10.1017/s1740022808002623

Commoners in the process of Islamization: reassessing their role in the light of evidence from southeastern Tanzania

2008· article· en· W2159456350 on OpenAlexaff
Felicitas Becker

Bibliographic record

VenueJournal of Global History · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Maritime and Colonial Histories
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsIslamizationIslamEliteEthosPower (physics)CONQUESTPolitical economySociologyPolitical scienceHistoryAncient historyLawArchaeologyPolitics

Abstract

fetched live from OpenAlex

Abstract Many societies became Muslim gradually, without conquest by Muslim rulers. Explanations of this process typically focus on Muslim traders, proselytizing ‘holy men’, and the conversion of ruling elites, as the limited sources suggest. Yet it cannot be assumed that Islamization always made sense for elites as a power-enhancing stratagem, or that rulers or holy men were willing or able to shape the religious allegiances of commoners. In fact, studies of contemporary Islamic societies demonstrate the relative autonomy of commoners’ religious observance, and the tendency of elites towards accommodation. Evidence from a recently Islamized region in East Africa shows that, rather than following elite converts, ordinary villagers initiated rural Islamization. They learned from coastal Muslim ritual rather than scripture, and evoked Islam to challenge social hierarchies and assert a more egalitarian social ethos. The possibility of similar processes also exists in other sites of gradual Islamization.

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)0.006
metaresearch head score (Gemma)0.013
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0030.007
Scholarly communication0.0030.003
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.040
GPT teacher head0.291
Teacher spread0.251 · 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

Citations19
Published2008
Admission routes1
Has abstractyes

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