Do Editorial Board Members in Library and Information Science Publish Disproportionately in the Journals for Which They Serve as Board Members?
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 article investigates whether the board members of thirty well-known library and information science journals are especially likely to publish in the journals for which they serve as board members. It compares board member authors with all the authors who published in each journal from 2007 through 2012. Overall, only 36 per cent of board member authors published more articles in their own journals than might be expected based on the publication patterns of all the authors who published in each journal. That is, 64 per cent published fewer articles than expected. This may reflect lower submission rates from board members (perhaps to avoid conflicts of interest), differences in the quality of submissions, or systematic bias in the review process.
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 | 0.195 | 0.388 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.063 | 0.115 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.312 | 0.589 |
| Open science | 0.006 | 0.001 |
| Research integrity | 0.000 | 0.003 |
| 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