Bibliodiversity of Small Academic Publishers
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
Large bibliographic databases highlight tangible and symbolic differences regarding the standards of quality attached to them, underlining diverging incentive structures for small and large academic publishers. To assess the academic differences associated with these, we explore bibliometric data for small publishers' journals from the Web of Science (WoS) and Scopus. We then discuss the visibility and impact of highly cited literature in small open access journals in relation to their cited references from indexed and non-indexed sources. We find that non-indexed references are consistently relevant for highly cited literature, yet the share of items that obtains high citation counts is rather small and uneven across disciplines. In general, we identify regional and linguistic specificities, whilst there are some observable thematic differences compared to more mainstream publications. In particular, we underline that a healthy bibliodiversity can, dependent on language or regional contexts, shape epistemic and scientific practices and narratives.
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 | 0.009 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.157 | 0.197 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.004 | 0.023 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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