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Record W7017259173

ARABA SEVDASI: RECAİZADE MAHMUT EKREM VE HALİL PAŞA BULUŞMASI

2011· article· en· W7017259173 on OpenAlexaboutno aff

Bibliographic record

VenueDergiPark (Istanbul University) · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicCultural and Sociopolitical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPaintingCriticismQuarter (Canadian coin)PoetryPashaWriting style
DOInot available

Abstract

fetched live from OpenAlex

In the last quarter of the 19th century, novels have begun to be written as one of the new literary genres. Araba Sevdası (The Carriage Affair), which is one of the first novels written during that period, has a considerable significance in bringing together Recaizade Mahmut Ekrem and, one of the leading painters of the time, Halil Pasha. It was first issued in instalments in the Servet-i Fünûn magazine and later published in book format. Araba Sevdası is considered to be the first illustrated novel, and most of the novel was illustrated by Halil Pasha, who was an important painter of that period.Araba Sevdası comprised twelve illustrations, both in its instalment format in the magazine and in its book format. In the novel, while the habits, daily routines and the love affairs of Bihruz Bey, the protagonist of the novel, are recounted, such themes as the youth’s great interest in the west and the corruption of education grab the attention of the readers as a criticism of the period. On the other hand, while adding illustrations Halil Pasha has tried to draw the attention of the readers to the most significant parts of the novel. Araba Sevdası brought together two Ottoman intellectuals and updated the traditional method by making use of illustrations backing up the text so that “the novel” as a new literary genre could be adopted.

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)0.001
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: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.002
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.004

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 head0.091
GPT teacher head0.171
Teacher spread0.081 · 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
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
Published2011
Admission routes1
Has abstractyes

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