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Record W7066468033

Hamid Dabashi, Islamic liberation theology: Resisting the empire (İslami kurtulus teolojisi: İmparatorluga direnmek). , Routledge, 2010., 303 s.

2021· other· tr· W7066468033 on OpenAlexaboutno aff

Bibliographic record

VenueeArşiv - KMÜ (Karamanoğlu Mehmetbey University) · 2021
Typeother
Languagetr
FieldPhysics and Astronomy
TopicAstrophysical Phenomena and Observations
Canadian institutionsnot available
Fundersnot available
KeywordsEmpireIslamNarrative
DOInot available

Abstract

fetched live from OpenAlex

Hamid Dabashi, İran: Ketlenmiş Halk (Metis), İran Sineması (Agora Kitaplığı), İslâm’da Otorite (İnsan) kitapları ile Türkiye’de bilinen bir yazar. Amerika’nın Columbia Üniversitesi’nde İran Çalışmaları ve Karşılaştırmalı Edebiyat profesörü olan Dabashi, son dönem İngilizce konuşan dünyada postkolonyal çalışmalar olarak tâbir edilen alanda adından bahsettirmeye başlayan bir isim. Gazete yazılarından akademik araştırmalarına, polemiklerinden eylemciliğine kendine has üslûbuyla kimilerinin tehlikeli bir demagog, kimilerinin ise ufuk açıcı bir düşünür olarak görebileceği bir isim. Değerlendireceğimiz kitabı, İslâmî Kurtuluş Teolojisi de tam olarak Dabashi’nin deneme ile makale arasında gerilimli bir şekilde salınan tarzının tecessüm ettiğini gördüğümüz bir kitap. Kitabın aslında farklı zamanlarda ve farklı bağlamlarda yazılmış çalışmaların tematik olarak bir kurtuluş teolojisine dibace olarak yeniden düzenlenmesi ile ortaya çıktığını ve bunun biçimsel özelliklerine yansıdığını baştan belirtmemiz gerekir.

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)0.002
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.048
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0090.010
Scholarly communication0.0070.012
Open science0.0020.004
Research integrity0.0080.007
Insufficient payload (model declined to judge)0.0120.004

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 head0.213
Teacher spread0.196 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

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