‘Predatory’ Open Access Journals as Parody: Exposing the Limitations of ‘Legitimate’ Academic Publishing
Bibliographic record
Abstract
The concept of the ‘predatory’ publisher has today become a standard way of characterizing a new breed of open access journals that seem to be more concerned with making a profit than disseminating academic knowledge. This essay presents an alternative view of such publishers, arguing that if we treat them as parody instead of predator, a far more nuanced reading emerges. Viewed in this light, such journals destabilize the prevailing discourse on what constitutes a ‘legitimate’ journal, and, indeed, the nature of scholarly knowledge production itself. Instead of condemning them outright, their growth should therefore encourage us to ask difficult but necessary questions about the commercial context of knowledge production, prevailing conceptions of quality and value, and the ways in which they privilege scholarship from the ‘centre’ and exclude that from the ‘periphery’.
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 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 | 0.026 | 0.073 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.013 | 0.117 |
| Scholarly communication | 0.046 | 0.037 |
| Open science | 0.003 | 0.015 |
| Research integrity | 0.013 | 0.011 |
| Insufficient payload (model declined to judge) | 0.004 | 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; 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".