Bibliographic record
Abstract
Eastman Kodak is well-known for film manufacturer but in fact also has considerably contributed to the advancement of digital cinema. Thus, this study summarizes the progress of digital image processing technology vigorously led by Kodak in and around its Cineon System which was created to support the work flow of digital intermediate (DI) film production. Then, the mechanism of Virtual Print Fee (VPF) and its application in the United States and Canada are examined. VPF is a key concept of digital cinema distribution and has been playing a crucial role in the rapid expansion of digital screens throughout the world. It is a kind of financing mechanism for supporting movie theaters to switch their existing film projectors to the new digital projection systems through redistributing the savings realized by distributors as replacing film prints with digital prints, the so-called Digital Cinema Package (DCP). Lastly, the introduction of VPF, the deployment of digital projection systems and the distribution of digital cinema in the Korean film industry are closely investigated. Meanwhile, the problems which had already been occurred or posed in those rather abrupt processes are also discussed. The purpose of this essay is to raise the issues related to ‘cinematic diversity’ to prevent a few giant corporations from monopolizing the market and to protect quite a few small businesses at risk of bankruptcy. It also expects to bring up some sorts of movements among the Korean filmmakers and others to keep the right of choice or the options both in production and distribution. One of the options may be the “celluloid” film.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.032 | 0.010 |
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".