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Record W4313262862 · doi:10.18254/s268684310021619-8

An Ingush Star of “Turkish Hollywood”

2022· article· en· W4313262862 on OpenAlexaboutno aff
Аlfina Т. Sibgatullina

Bibliographic record

VenueOriental Courier · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicTurkey's Politics and Society
Canadian institutionsnot available
Fundersnot available
KeywordsHollywoodMovie theaterTurkishMemoirFilm directorArtArt historyPeriod (music)Quarter (Canadian coin)HistoryMedia studiesSociologyArchaeologyPhilosophyAesthetics

Abstract

fetched live from OpenAlex

In the history of Turkish cinematography, Yeshilcham is perceived as a local level Hollywood. The heyday of Yeshilcham falls on 1960–1970s and is considered the "golden period" of Turkish cinema. In the 1960s during the rule of the Democratic Party, there was a growth in Turkish cinema and production companies began to open their offices on Yeshilcham Street in the famous Beyoglu quarter in the heart of Istanbul. It was here that the stars of such outstanding actors as Kemal Sunal, Turkan Shoray, Taryk Arkan, Fatma Girik, Ediz Hun, Yilmaz Güney, Ferdi Tayfur, Hulya Kochiigit and many others lit up. This article focuses on one of these legends of Yeshilcham — the actor and director Ekrem Turan Gokkaya (1934–2021), a prominent representative of the Ingush diaspora in Turkey. He played in more than two hundred films, and was also a producer and director of many bright films. E. Gokkaya, who mainly played negative roles, was remembered by the viewer as “bad Ekrem”, “Ekrem-santana”. His memoirs perfectly describe the atmosphere of Yeshilcham in 1960–1970s. With the spread of television and the departure by the end of the 1970s from the film business of many producers, the offices in Beyoglu closed one after another, and the beginning of the 1980s was marked by the setting of the sun named Yeshilcham. Many artists were left not only idle, but even on the street.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.886
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.310
Teacher spread0.298 · 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 teacher head, not a consensus.

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
Published2022
Admission routes1
Has abstractyes

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