Putting Intellectual Property in its Place
Bibliographic record
Abstract
Abstract This book examines the relationship between creativity and intellectual property law on the premise that, despite concentrated critical attention devoted to IP law from academic, policy, and activist quarters, its role as a determinant of creative activity is overstated. The effects of IP rights or law are usually more unpredictable, non-linear, or illusory than is often presumed. Through a series of case studies focusing on nineteenth-century journalism, “fake” art, plant hormone research between the wars, online knitting communities, creativity in small cities, and legal practice, the book discusses the many ways people comprehend the law through information and opinions gathered from friends, strangers, co-workers, and the media. It also shows how people choose to share, create, negotiate, and dispute based on what seems fair, just, or necessary, in the context of how their community functions in that moment, while ignoring or reimagining legal mechanisms. The book defines “the everyday life of IP law,” constituting an experiment in non-normative legal scholarship, and in building theory from material and located practice.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.020 |
| Scholarly communication | 0.013 | 0.011 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.017 | 0.004 |
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".