Stealing the Goose: Copyright and Learning
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
<P>The Internet is the world's largest knowledge common and the information source of first resort. Much of this information is open and freely available. However, there are organizations and companies today that are trying to close off the Internet commons and make it proprietary. These are the “copyright controllers.” The preservation of the commons and expanding access to digital content and applications are very important for distance educators. The educational exemptions for “fair use” in the United States and “fair dealing” in the Commonwealth countries are integral to any understanding of copyright, which was instituted for the dissemination of knowledge, and not, as is commonly believed, to protect the rights of the copyright owners. Copyright law was expressly introduced to limit their rights. Yet, these controllers are successfully turning a “copy” right into a property right. The traditional rights of learning institutions are being taken away. The balance for researchers should be restored. Research and learning must be allowed the broad interpretation that was intended in the original laws.</P> <P><B>Keywords:</B> copyright; intellectual property; infringement; Internet; stealing; balance</P>
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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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