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Record W6987215294

SIDKÎ BABA’NIN VELÂYETNÂME MÜELLİFİ ALİ NİHÂNÎ’YE DAİR HATIRALARI

2019· article· en· W6987215294 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicIslamic Thought and Society Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMemoirTurkishQuarter (Canadian coin)World literaturePeriod (music)
DOInot available

Abstract

fetched live from OpenAlex

Memoirs are the literary texts that individuals have written about moments and events that took place in their lives. There are significant pieces of works written in Turkish and world literature in this genre. These works are often created with the purpose of ensuring that other people are aware of the events and individuals that the author came across and thought to be important and preventing the people and events mentioned in these memoirs from being forgotten. Relatively important information can be found between the lines of these memoirs. Through these works, an important part of the life of a writer can be informed about a lost work or a new copy of a recognized work. Sıdkî Baba who lived between the second half of the 19th century and the first quarter of the 20th century has an important role in Alevi-Bektashi tradition and is recognized with his works on Alevi-Bektashi culture and its world of thought. He is also respected due to his close relations with Şeyh Cemâleddin Efendi and Mudarris Ali Nihânî in the Hacı Bektash Velî Dervish Convent where he studied at a young age. In the documents written by the Sıdkî Baba in 1341/1923 that comprises of his memoirs, there are notes regarding Ali Nihânî’s life and unknown facts about his work. In this study, the analysis of these documents revealed information about Ali Nihânî’s hometown, family, education, teaching activities in the Dervish Convent, his illness, death, and funeral as well as the story of the writing of his work.

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)0.002
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.032
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0320.009

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 head0.263
GPT teacher head0.505
Teacher spread0.242 · 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
Published2019
Admission routes1
Has abstractyes

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