Bibliographic record
Abstract
The 2018 Turkish film Daha, inspired by Hakan Günday's novel and directed by Onur Saylak, deals with the experiences of immigrants during border crossings and the migrant smuggling networks through the father and son relationship. It is the second film directed by Saylak, one of the most well-known actors in Turkey. Saylak explains that he directed this film with the motivation that cinema should teach people and the aim that makes the audience consider the topic of the film. Daha takes place in Kandalı, a fictional town on the Aegean coast of Turkey where migrant smuggling is intense. It indicates the journey of the migrant smuggled by sea, and presents the migrant smuggling networks and the actors who have different roles in this network: the smuggler, the leader of the safe house, and the boat owners. Ahad, the smuggler, and his 14 years-old son Gaza, the leader of the safe house, are the starring of the film. The plot of the film is presented from Gaza's perspective and narration. The text "the first tool used by a human is another person" reflected on the screen at the beginning of the film draws attention to migrant smuggling.
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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 | 0.002 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".