<i>Qābeli nadāre</i> (It is not worthy of you)
Bibliographic record
Abstract
Abstract This article reports on a study of English subtitles of Persian Ostensible Offer of Money (POOM). The first stage of this study involved identifying instances of POOM in Iranian films on the basis of their locutions (forms) and culture-specific contextual features and underlying concepts. At this stage we highlighted the potential problems that may be encountered when relaying the meaning of POOMs in English, and described the translation strategies used by the subtitlers. In order to corroborate our findings, we also conducted a survey of the perceptions of non-Iranian viewers. On the basis of our analysis, we conclude that, owing to subtitling restrictions such as space and time, subtitlers can rely on information provided in the preceding and following scenes of instances of POOM as well as dialogues, audiences’ familiarity with Persian culture, and similarities with other cultures in order to avoid mistranslations or misunderstandings.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".