Bibliographic record
Abstract
Copyright holders and their agents intersect with libraries on many levels and in many ways. Many are represented by collective organizations. These organizations can sell individual licenses to uses of their works, or sell blanket licenses to packages of uses, or, indeed, apply to the Canadian Copyright Board to have tariffs imposed upon entire classes of libraries or institutions operating libraries. While the ways in which copyrighted materials are offered to libraries does not lie within a library's control, the response to a given offering does. This presentation will discuss the range of possible reactions to overtures from publishers, collectives and others (including open access sources) -- and will include results of analysis from interviews conducted across Canada with librarians and copyright officers in academic institutions when all but those in Quebec faced with a new environment of tariffs in 2012.
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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 | 0.024 | 0.076 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.024 | 0.029 |
| Scholarly communication | 0.034 | 0.027 |
| Open science | 0.004 | 0.019 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".