The Author as Agent of Information Policy: The Relationship between Economic and Moral Rights in Copyright
Bibliographic record
Abstract
A historical and theoretical analysis of the copyright environment demonstrates that both the economic rights associated with copyright and the moral rights often associated with copyright perform social functions. The latter have not been as universally embraced or adopted as the former. The lack of enthusiasm for moral rights is argued to be because the social utility of this aspect of the copyright regime has gone largely unrecognised. In fact, moral rights ensure that the information needs of the public are being met because they enhance the ability to assess the authority and reliability of information. While historically this has not been as important as enhancing the supply of information, a function performed by the economic rights of copyright, in the context of the new information environment, the role played by moral rights is becoming increasingly important. Our thesis also defines the appropriate scope of moral rights protection in copyright.
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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 | 0.012 | 0.047 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.022 |
| Scholarly communication | 0.016 | 0.018 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.008 | 0.004 |
| Insufficient payload (model declined to judge) | 0.012 | 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".