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Record W3184359778 · doi:10.18254/s207987840015902-1

Islamic Traditionalism in the Syrian Provinces of the Ottoman Empire during the Age of Abdulhamid II (1876—1909)

2021· article· en· W3184359778 on OpenAlexaboutno aff
Д.Р. Жантиев

Bibliographic record

VenueIstoriya · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsnot available
Fundersnot available
KeywordsTraditionalismIslamOttoman empireIdeologyWaqfQuarter (Canadian coin)PoliticsAncient historyPower (physics)Government (linguistics)History of IslamPolitical scienceHistoryEconomic historyLawPhilosophyArchaeologyHumanities

Abstract

fetched live from OpenAlex

The article examines the reasons and main manifestations of Islamic traditionalism as a stable system of views that dominated the Syrian provinces of the Ottoman Empire in the last quarter of the 19th — early 20th centuries. Consideration of the main theses of the ideological heritage of Abu l-Huda al-Sayyadi, Salih al-Munayir, Yusuf al-Nabhani and their ideological supporters, as well as the socio-political ties between them, allows us to comprehend the strategies of Sultan Abdulhamid II to justify the sacred and lawful, from an Islamic point of view, the nature of the Sultan's power. The study makes it possible to assess the influence of Muslim traditionalist scholars of the late Ottoman period as the conductors of the government policy aimed at consolidating Muslims around the figure of the Ottoman Sultan-Caliph.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.184
Threshold uncertainty score0.365

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.005
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.017
GPT teacher head0.252
Teacher spread0.235 · 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
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
Published2021
Admission routes1
Has abstractyes

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