Open Access in the World of Scholarly Journals: Creation and Discovery
Bibliographic record
Abstract
Open Access publishing continues to grow, and it has profound implications for librarians in a variety of contexts. This report serves two functions. It provides background on Open Access publication of scholarly journals and the role of academic libraries in this movement. In particular, it examines the University of Lethbridge Journal Incubator as an example of library involvement in Open Access publication. The report also examines how hybrid journals, in an attempt to provide Open Access publication options in traditional subscription journals, have introduced a new discovery and access problem for libraries. While standards bodies have begun to address the problem, there are still many challenges when accessing open content in hybrid journals.
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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 | 0.023 | 0.043 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.016 |
| Science and technology studies | 0.010 | 0.029 |
| Scholarly communication | 0.064 | 0.047 |
| Open science | 0.002 | 0.018 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.014 | 0.005 |
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".