Yaşar Kemal’in Romanlarının Sosyolojik Dokusunu Feminist Edebiyat Eleştirisi Bağlamında Değerlendirmek
Bibliographic record
Abstract
Yaşar Kemal, accepted as one of the important writers of World and Contemporary Turkish Literature, produced works in many genres of literature. The works of Yaşar Kemal, who is best known as a novelist, contain many social facts about Turkish social reality throughout the history of the Republic. The geography of his novels from Çukurova to Istanbul includes many social issues such as aghas (tribal chieftains), social banditry, population exchange, poverty, environmental change, rural life, intangible cultural heritage elements and the social consequences of wars. His original competence in the Romani language, his success in building social-cultural characters, his ability to transfer social events to fiction with an aesthetic talent, and his awareness for human beings and the environment have given Yaşar Kemal a high profile in the world of literature. Social change processes focused on the production relations that started in Turkey in 1950/60s brought about their own material conditions starting from Çukurova region. This process is undoubtedly reflected in art. Yaşar Kemal treated in detail the sociological texture of this change from many aspects in his works. Thus, he became an artist who succeeded in touching universal human reality way beyond the perception of a novel confined only to Çukurova. Within this human reality, women are included as the main characters. Given the humanitarian cultural basis on which he built his novels, it can be seen that in all Yaşar Kemal’s novels, women have a respectable position. This study aims to make a sociological study on Yaşar Kemal’s published novels and to contribute to different readings with feminist literary criticism.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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 source (direct Gemma or distilled Codex), 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".