For the Encouragement of Learning: The Origins of Canadian Copyright Law
Bibliographic record
Abstract
For the Encouragement of Learning addresses the contested history of copyright law in Canada, where the economic and reputational interests of authors and the commercial interests of publishers often conflict with the public interest in access to knowledge. It chronicles Canada’s earliest copyright law to explain how pre-Confederation policy-makers understood copyright’s normative purpose.\nUsing government and private archives and copyright registration records, Myra Tawfik demonstrates that the nineteenth-century originators of copyright law intended to promote the advancement of learning in schools by encouraging the mass production of educational material. The book reveals that copyright laws were integral features of British North American education policy and highlights the important roles played by teachers, education reformers, and politicians in the emergence and development of the laws. It also explains how policy-makers began to consider the relationship between copyright and cultural identity formation once British interference into domestic copyright affairs increased, and as Canadian Confederation neared. Using methodologies at the intersection of legal history and book history, For the Encouragement of Learning embeds the copyright legal framework within the history of Canada’s book and print culture.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.028 | 0.030 |
| Scholarly communication | 0.015 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 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".