ANALISIS PRAGMATIK DEIKSIS DALAM FILM AYLA: THE DAUGHTER OF WAR MELALUI PENDEKATAN HISTORIS.
Bibliographic record
Abstract
Masalah utama dalam penelitian ini bagaimana bentuk-bentuk deiksis dalam dialog yang terdapat dalam film Ayla:The Daughter Of War karya Yigit Guralp. Penelitian ini bertujuan untuk mengetahui deiksis dialog yang terdapat dalam film Ayla:The Daughter Of War. Jenis penelitian ini adalah penelitian deskriptif kualitatif dengan menggunakan metode penelitian dokumentasi, simak, screenshot, dan catat. Data penelitian ini menggunakan data bahasa ragam lisan yang sumbernya dari film Ayla:The Daughter Of War. Data ini dianalisis dengan teknik analisis taksonomik (taksonomic analysis) pada tahap analisis taksonomik, Peneliti berupaya memahami domain-domain tertentu sesuai fokus masalah atau sasaran penelitian. Berdasarkan hasil penelitian dari penulis dapat di simpulkan bahwa terdapat beberapa bentuk deiksis. Deiksis Persona, Deiksis Tempat, Deiksis Waktu, dan Deiksis Sosial hanya saja Deiksis Wacana tidak di dapat dalam film Ayla:The Daughter Of War.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.035 | 0.005 |
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".