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Record W2968846928

Şeyh Seyyîd Abdülkâdir-i Belhi’nin Hayatı, Edebî Kişiliği ve Eserleri

2019· article· tr· W2968846928 on OpenAlexaboutno aff
Nurgül Bağci

Bibliographic record

VenueAkademik Tarih ve Dusunce Dergisi · 2019
Typearticle
Languagetr
FieldArts and Humanities
TopicTurkish Literature and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryHajjPersianAncient historyPilgrimageQuarter (Canadian coin)HistoryIslamArtLiteraturePhilosophyTheologyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

The territory of Afghanistan today is considered to be an important source of the Persian poetry and literature which had its brightest periods in the Persian literature history. Sheikh Sayyed Abd ol-Qader Balkhi , who came to Istanbul in 1861 with his family, and who was one of the sheikhs of Murad Buhari Lodge during the last quarter of the 19 th century and the first quarters of the 20 th Century, belonged to the aristocrat class with his family like Mawlana Jalaluddin Rumi. Abd ol-Qader Balkhi was the child of a famous sheik family who was also engaged in poetry; and had to migrate to the city of Balk from Anatolia. The Balkhi family, who migrated to Baghdad from Balk with the intention of going to Hajj (pilgrimage), gave up the idea of going to Hajj in Baghdad because of bad conditions at those times; and moved to Konya and then to Istanbul. In this study, information was given about life, literary personality and works of Sheikh Sayyed Abd ol-Qader Balkhi ; and it was also aimed to introduce his manuscript named “Divân”. Our article is the firstly study providing information on the new copy of the “Divân” in question.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.333
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0260.011

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 head0.010
GPT teacher head0.210
Teacher spread0.200 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2019
Admission routes1
Has abstractyes

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