The Factors of Iranian Cinema’s Global Success at Festivals: Content Analysis of Prize-Awarded Movies at Cannes, Berlin, Venice and Locarno Festivals
Bibliographic record
Abstract
This article is about the factors of Iranian cinema’s success at global festivals, particularly Cannes, Berlin, Venice and Locarno. The main aim is to understand the amount of “blackening” in the Iranian movies that were prize-awarded. The research method is content analysis which the sample size 34 movies. The findings indicate that among 34 examined movies, only in two films i.e. The Circle and Crimson Gold, all indicators related to blacken have been represented. In two other movies, only the story was related to the Iranian social issues. Therefore contrary to the official viewpoint, blackening was not at a level that could account for the success of the Iranian prize-awarded films. On the other hand, the examination of ethical values shows that most sequences of examined movies consider to apply ethical values, affection, love and caring, and except for the movie 20 Fingers, this variable is represented more or less. Therefore the representation of human affections and values has been the most significant factor of Iranian cinema’s global success at the international festivals.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".