Bibliographic record
Abstract
Recent years have seen an increase in the number of Turkish soap operas broadcast outside of Turkey, particularly in the Arab world. Turkish television stars quickly became pop idols in the Middle East and the Balkans, creating great sympathy for the Turkish identity, culture, and values. Egypt, with its large population and great importance in the region, epitomizes the salient geography of audiences where Turkish soap operas have become a pervasive phenomenon, and is therefore the focus of this study, which explores two sets of questions: (1) How have Turkish soap operas influenced Egyptian people, mainly students, in terms of their understanding of Turkish culture and Turkey's role in the Middle East? What kinds of Turkish soap operas do they watch, and what actors do they favour? (2) Why do people watch Turkish soap operas? What do they do with them? How can Egyptian audiences' interpretations of Turkish soap operas be conceptualized, signified, and classified? How and to what degree does Egyptian society interpret Turkish soap operas, and how can their meaning making be read and understood? The study used a face-to-face survey and open-ended questionnaire to answer these questions. Salient findings are (a) that from the perspectives of technical quality, acting, and plot, no better alternatives exist to replace Turkish soap operas; (b) that Egyptian audiences enjoy romantic narratives and pure, immaculate love stories that are well written and passionately acted; (c) that young people and women, in particular, want to experience Turkish-style modernism (combining capitalism and tradition), fashion, and beauty; and (d) that many Egyptians see Turkey as a success story of the Muslim world, from economic development to democratization, human rights, freedom of expression, and the simultaneous practice of Islam and tradition.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".