Film Animasi sebagai Medium Dokumentasi Kekayaan Alam, Intelektual, Budaya, dan Dinamika Sosial Politik
Bibliographic record
Abstract
Animation is a medium that has the ability to represent a visual phenomenon as a whole. Animation is not just a work of image-driven, but the work depicted motion, as expressed by Norman McLaren, Canadian animator Academy Award winner. As the interpretation of the motion, the animation is not subject to the laws of nature, so there is no limitation including movements that cannot be done in the real world or recorded in the live-action movie. So is the characterization or characterizations in the animation can be so free and open more opportunities for exploration. This advantage makes the animation a favorite medium to draw the attention of the audience, especially in the growing era of digital animation technology. Animation is now not only used for entertainment purposes, but has penetrated other fields such as education, tourism, health care, and so on. As a cultural product, animation, as well as films and works of art of human culture in general, is a historical marker that describes the spirit of an era that functions inherent in the animated film documentation of socio-political dynamics of a nation in a given period. This paper describes the process of documentation of natural, intellectual, cultural and socio-political dynamics in countries that intensively utilize the medium of animation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 0.003 |
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".