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
This piece provides documentation on the dataset DOAJ 2021 plus, developed for the article Open access journals & article processing charges 2011 – 2021. This is a rich metadata set, with a primary focus on article processing charges (APC) data that also includes a great deal of other data that could be useful for other researchers interested in studying trends in open access journals. The base data is a DOAJ metadata set downloaded on Jan. 5, 2021, with light clean-up to ensure data is in the correct columns, standardize publisher names to the extent it was possible to do so, and remove most URLs that would be primarily useful to DOAJ staff in the process of verifying journals for inclusion. Explanation of column headings, codes and data from other sources included is provided below as well as links to the data documentation of each of these sources. This work is part of the Sustaining the Knowledge Commons (SKC) project funded through a SSHRC Insight Development Grant (2014 – 2016) and Insight Grant (2016 – 2021).
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.023 |
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