Reclaiming Scholarly Publishing: National Policy, Diamond Open Access, and Canada's Path Forward
Bibliographic record
Abstract
This talk delivered on October 9th 2025, discussed Canada’s evolving open access landscape, with a focus on national policy shifts that have the potential to support digital research sovereignty and challenge the dominance of commercial scholarly publishing. It highlights Coalition Publica as a key example of a national open infrastructure supporting diamond open access in the social sciences and humanities, made possible through sustained multi-stakeholder engagement and collaboration. The role of diamond open access - a model that eliminates fees for authors and readers - in supporting multilingual publishing and promoting bibliodiversity is also examined. Drawing on the successes of this model, the talk will invite researchers to consider its applicability within STEM disciplines, particularly as funding agencies and institutions increasingly prioritize equitable, sustainable, and transparent access to publicly funded research.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.015 | 0.100 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.012 | 0.001 |
| Scholarly communication | 0.330 | 0.056 |
| Open science | 0.028 | 0.047 |
| Research integrity | 0.000 | 0.002 |
| 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; both teacher heads agree on what is shown here.
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".