Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".