RASA TAKUT DALAM FILM ANIMASI 2 DIMENSI "FEARS" KARYA NATA METLUKHLUKH)
Bibliographic record
Abstract
“Fears” is a graduation film made by Nata Metlukh at Vancouver Film School in 2015. Nata’s first twodimensional animation film got numerous awards at various film festivals. Without dialogs, the film putsforward the strength of how visualization in the form of animation and music represents the feelings of fearin different forms and conditions as the message of the animator. Analysis of “Fears” aims at (1) describingthe plot of the story through the visualization of animation, and (2) exploring the forms and meanings of thefeelings of fear through the interpretation of the visualization of the plot of the story. Fifteen selectedanimation visualizations of black creatures with white eyes --signifying feelings of fear and alwaysshadowing the main animation character and others—were analyzed. The result of the analysis demonstratesthat feelings of fear may be understood by the owners as the entity disturbing, hindering, and limiting theirthoughts and actions; but on the other side, feelings of fear are also understood in a constructive sense whichfacilitates people to be always alert and cautious.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 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".