Inequities of Article Processing Charges: How the Oligopoly of Academic Publishers Profits from Open Access
Bibliographic record
Abstract
<em>Public lecture at the Knowledge Equity and Justice Spring Seminar, 17 May 2022, organized by Stacy Allison-Cassin and SPARC</em> Since the early 2010s, more than half of peer-reviewed journal articles have been published by the so-called oligopoly of academic publishers: Elsevier, SAGE, Springer-Nature, Taylor & Francis and Wiley. These companies make immense profits from publishing scholarly journals, traditionally through subscriptions from academic libraries, the reader pays model. With more and more libraries cancelling so-called ‘Big Deals’, these publishers have expanded their revenues by making authors pay article processing charges (APCs) for open access (OA) publishing. The author-pays model creates inequities and barriers that exclude many from publishing, such as underrepresented groups or researchers from less-resourced countries. This presentation demonstrates the growth of gold and hybrid OA articles published in oligopoly journals indexed in the Web of Science and provides evidence of the amount of APCs paid in Canada and globally. It highlights the inequities of the author-pays model and discusses alternative routes to OA.
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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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.020 | 0.019 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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; 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".