Scholarly Associations and the Economic Viability of Open Access Publishing
Bibliographic record
Abstract
The paper considers a number of economic issues that scholarly associations are confronting in moving their journals online, with a focus on the possible viability of an open access or free-to-read format. It explores the current content overlap between subscription-based and open access sources, and considers how these redundancies favor open access publishing and indexing. It utilizes the tax returns for 20 US non-profit scholarly associations to analyze current publishing revenues against costs, arguing that the associations could make up the loss of revenue posed by the open access publishing model through cost savings and other revenue sources, while serving their membership better through the increased readership in an era of declining subscriptions. While the decision to publish journals in an open access format is by no means simply an economic one, the viability of open access publishing warrants serious consideration by scholarly associations that are currently determining what this new medium may mean for the circulation of knowledge.
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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 | 0.093 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.009 | 0.014 |
| Scholarly communication | 0.036 | 0.017 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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".