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Record W7033980871

Şeyh Ali Celâleddin Çelebi ve Döneminde Afyonkarahisar Mevlevîhânesi (1894-1918)

2015· dissertation· tr· W7033980871 on OpenAlexaboutno aff

Bibliographic record

VenueDSpace - AKÜ (Afyon Kocatepe University) · 2015
Typedissertation
Languagetr
FieldComputer Science
TopicParallel Computing and Optimization Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Quarter (Canadian coin)Power (physics)
DOInot available

Abstract

fetched live from OpenAlex

Mevlânâ Celâleddin Rumi’nin torunlarının halen yaşadığı bir kent olan Afyonkarahisar, Mevlevîlik Tarihi açısından önemli bir merkezdir. Özellikle XV. ve XVI. yüzyıllarda, Sultan Divânî zamanında, “Konya’dan Sonraki En Önemli Mevlevîhâne” olma özelliğini daha da pekiştirmiştir. \nKendisi de Mevlânâ torunlarından olan Ali Celâleddin Çelebi, 1894-1918 yılları arasında şeyhlik yapmıştır. \nAfyonkarahisar Mevlevîhânesi; Ali Celâleddin Çelebi dönemine rastlayan Balkan ve Birinci Dünya Savaşlarında hem maddî hem de askerî yardımda bulunarak Osmanlı Ordusuna destek sağlamış, 1902’de tamamen yanmasının ardından zor şartlar altında tekrar inşa edilmiş ve Sultan Reşad Döneminde çıkan kanûna rağmen, Müstesna (ayrıcalıklı) vakıflardan kabul edilmiştir. \n1918 yılında Celâleddin Çelebi’nin vefatının ardından, Tekke ve Zaviyelerin kapatılması ile ilgili kanunun yürürlüğe girdiği 1925 yılına kadar, aktif bir şekilde faaliyetlerini sürdürmüştür

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.134
Threshold uncertainty score0.266

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0170.003

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 head0.022
GPT teacher head0.253
Teacher spread0.231 · 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
Published2015
Admission routes1
Has abstractyes

Explore more

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