Laying the Foundation for Copyright Policy and Practice in Canadian Universities
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
Due to significant changes in the Canadian copyright system, universities are seeking new ways to address the use of copyrighted works within their institutions. While the law provides quite a bit of leeway for use of copyrighted materials for educational and research purposes, the response by Canadian universities and related associations has not been to fully embrace their legal rights – rather, they have taken an approach that places emphasis on risk avoidance rather than maximizing use of materials, unlike their American counterparts. In the U.S., where educational fair use is arguably less flexible in application than fair dealing, there is a higher level of copyright advocacy among professional associations, and several sets of best practices have been created to guide the application of copyright to educational use of materials.\nCanada is lagging behind the U.S. in this respect, placing Canadian universities at a relative disadvantage. The goal of this study is to lay the foundation for the development of policies and guidelines in the use of copyrighted works, and the provision of copyright literacy education in universities. The research will be undertaken from a critical perspective, with the goal of promoting fair dealing and other exceptions as user rights within the institution, and a reduction in risk aversion.\nThe methodology employed is both qualitative and quantitative and includes legal analysis, content analysis of policies and guidelines, and collection of survey data.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.006 |
| 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