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Record W4321613193 · doi:10.4324/9781003268994

Islamic Identity and Development after the Ottomans

2023· book· en· W4321613193 on OpenAlexaff
Özay Mehmet

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsCarleton University
Fundersnot available
KeywordsIslamIdentity (music)Ancient historyGenealogyHistoryArtArchaeologyAesthetics

Abstract

fetched live from OpenAlex

Exploring themes of identity and development in the post-Ottoman Arab world, this book updates the author’s earlier Islamic Identity and Development (Routledge, 1990) to analyse the root causes of chaos, civil war, and conflict in the Islamic Core today. Adopting a neo-Ottomanist framework, and using the latest scholarship on the Middle East, the author traces the historical development of the current crisis to the First World War, when the West instigated invasions, coup d’états, civil and proxy wars. It is argued that Western powers have facilitated the dispossession of the Arab people in their overarching aim to gain control of the oil fields. A range of historical case-studies are provided as evidence, from the Balfour Declaration and the Sykes-Picot Agreement to the creation of Israel and the displacement of Islamic refugees. Individual nations are also analysed, including Iran, Saudi Arabia, Iraq, Syria, Libya, and Egypt. Ultimately, the author suggests that artificial countries and unsustainable frontiers are the root causes of the Islamic crisis. However, a realistic (and long-term) solution may lie in the evolution of a new Silk Route Economy. This book will appeal to graduate-level students in political economy, area studies, international affairs, and Middle East studies generally.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.358
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.028
GPT teacher head0.277
Teacher spread0.249 · 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 teacher head, not a consensus.

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

Citations4
Published2023
Admission routes1
Has abstractyes

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