An Expanded Approach to Evaluating Open Access Journals
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The advent of open access publishing necessitates evaluating the quality of a plethora of new journals. The problem of ensuring quality is inherent in the benefits and goals of open access publishing, which attempts to establish a system for reporting research findings that is inclusive and expeditious. However, inclusivity and speed may run counter to the goals of quality and reliability, and the pressure for researchers to publish creates incentives to participate in a fraudulent system. This paper presents an alternative approach to evaluating the legitimacy of open access publications. Those concerned about the quality of open access publishing have attempted to evaluate journals based on criteria that refer to externally available information. The approach used here provides additional, internal information about participation in journals' review processes. This additional information, namely, documentation of the process from submission through review to acceptance, is crucial for evaluating potentially fraudulent open access journals that might appear legitimate based on publicly available information.
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.
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 | 0.068 | 0.052 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.110 | 0.377 |
| Open science | 0.008 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| 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 it