Library is the new publisher: Establishing workflows for library-based open educational resource production programs in post-secondary institutions across Canada and the United States
Bibliographic record
Abstract
As a response to increasing costs of textbooks for college students, post-secondary institutions are exploring new methods to make learning materials affordable for students. This has resulted in a surge of interest in the concept of open educational resources (OER), or freely accessible learning materials, the most prominent of which is the open textbook. Post-secondary institutions have begun to start their own OER production programs, often staffed by librarians and run through an institutional library. As the work that was traditionally done by publishers begins to move into the academic space, new OER coordinators are searching for answers for how to successfully run an OER production program. This report is an analysis of the workflows of six OER production programs run through the libraries of post-secondary institutions in the United States and Canada, and stands a record that can be built upon in the future in the efforts to formulate a standardized approach to running a successful OER production program using Pressbooks’ book production and distribution software.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.002 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".