Librarians in a Litigious Age and the Attack on Academic Freedom
Bibliographic record
Abstract
Abstract With a focus on Canada, but framed by similar and shared concerns emerging in the United States, this chapter examines the current status of what constitutes and defines academic freedom for academic librarians and the rights and the protections individual, professional academic librarians have with respect to the freedom of speech and expression of their views in speech and writing within and outside of their institutions. It reviews the historical background of academic freedom and librarianship in Canada, academic freedom language in collective agreements, rights legislation in Canada versus the United States as it pertains to academic librarianship, and rights statements supported by Canadian associations in the library field and associations representing members in postsecondary institutions. The implications of academic librarians using the new communication technologies and social media platforms, such as blogs and networking sites, with respect to academic freedom are examined, as well as, an overview of recent attacks on the academic freedom of academic librarians in the United States and Canada. Included in this analysis are the results of a survey of Canadian academic librarians, which examined attitudes about academic freedom, the external and internal factors which have an impact on academic freedom, and the professional use of new communication technologies and social media platforms.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.041 | 0.059 |
| Scholarly communication | 0.027 | 0.008 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.005 | 0.008 |
| 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".