Calvinball: Users’ Rights, Public Choice Theory and Rules Mutable Games
Bibliographic record
Abstract
This article proposes the “rules mutable game” as a metaphor for understanding the operation of copyright reform. Using the game of Calvinball (created by artist Bill Watterson in his long-running comic strip Calvin & Hobbes) as an illustrative device, and drawing on public choice theory’s account of how political change is effected by privileged interests, the article explores how the notion of a game in which players can modify the rules of the game while it is being played accounts for how users are often disadvantaged in copyright reform processes. The game metaphor also introduces a normative metric of fairness into the heart of the assessment of the copyright reform process from the standpoint of the user. The notion of a rules mutable game tells us something important about the kinds of stories we should be telling about copyright and copyright reform. The narrative power of the “fair play” norm embedded in the concept of the game can facilitate rhetoric which does not just doom users to dwell on their political losses, but empowers them to strategize for future victories.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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; both teacher heads agree on what is shown here.
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".