Digital sampling and culture jamming in a remix world: what does the law allow?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article looks at the way in which intellectual property law in particular copyright and trademark law deals with the "free culture" practices of digital sampling and culture jamming. It considers the recent US case on digital sampling, Bridgeport Music Inc v Dimension Films Inc, and its relevance to Australian law, along with the critical issues of ‘substantial part’, moral rights and fair dealing. This analysis is applied to a short case study of MP3 Blogs. In relation to culture jamming the article considers the legality of using trademarks as part of social commentary under Australian, Canadian and US trademark law. The article explores the way in which Creative Commons licences and the current "Fair Use Review" by the Commonwealth Attorney General can solve some of the existing problems and enhance participation in our ever growing remix culture. The article concludes by calling for greater clarity in the law in relation to the "free culture" practices of sampling and culture jamming in order to sponsor social and creative innovation.
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.
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 | 0.000 |
| 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 | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it