Let’s Play: A Walkthrough of Quarter-Century-Old Copyright Precedent as Applied to Modern Video Games
Bibliographic record
Abstract
Looking to the copyright protection over the audiovisual displays of video games, current precedent—created by extensive litigation in the 1980s over early arcade games—may be a round hole into which the square peg of today’s highly complex video games would have difficulty fitting. This is an issue that has increasing importance as the market for the passive consumption of video game audiovisual displays through tournament streams, walk-throughs, etc., continues to balloon. If courts were to apply precedent from litigation in the 1980s to video games as they exist today, the idea that copyright protection automatically attaches to any and all audiovisual displays generated by a game may not hold true. It is uncertain to what extent the reasoning in early arcade game litigation regarding the issues of authorship, the idea/expression dichotomy, and fixation would yield similar holdings. Moreover, it appears similarly uncertain to what extent a retreat from earlier precedent may impact publishers’ rights in downstream uses of audiovisual displays. Even if potential defendants prevailed under either an idea/expression dichotomy theory or a fixation theory—meaning the copyright does not attach to audiovisuals at the outset—later-fixed audiovisuals may still be protectable. The strongest argument potential defendants have, therefore, is that their interaction with the game precludes copyrightability for the audiovisual displays due to a lack of “original authorship” on the part of the publishers.
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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 | 0.008 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.033 |
| Scholarly communication | 0.020 | 0.020 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.010 | 0.015 |
| 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".