A Paradigm Shift in Intellectual Property Discourse: Fresh Perspectives on Old Debates: Common as Air: Revolution, Art, and Ownership, by Lewis Hyde, In Praise of Coping, by Marcus Boon
Bibliographic record
Abstract
ON 29 SEPTEMBER 2011, Canada's Conservative government introduced Bill C-11, 4 a dusted-off copyright reform bill, which had its last incarnation as Bill C-32.' Bill C-32 had been the latest instalment of a series of ill-fated copyright reform bills that died on the order paper in Parliament.Bills C-i1 and C-32 are different from their predecessors' in some significant respects.Perhaps most notably, these bills bear certain hallmarks of citizen engagement in copyright debates.Due to the efforts of activists who organized Internet and Facebook campaigns on copyright reform, the government was pressured to consider the views of ordinary Canadians alongside those of the usual cast of industry lobbyists.7 1.
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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 | 0.016 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.032 | 0.119 |
| Scholarly communication | 0.041 | 0.060 |
| Open science | 0.004 | 0.011 |
| Research integrity | 0.018 | 0.024 |
| Insufficient payload (model declined to judge) | 0.008 | 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".