Bibliographic record
Abstract
Editorial independence is crucial for the intellectual life of a scientific journal. A journal exists only as an idea created by authors and readers, with some editorial orchestration. Editorial independence can be compromised by pressure put on editors by their owners-whether commercial publishers or professional organizations. Both types of owners rely heavily on income from paid advertising in their print journals. Yet, the massive expansion of journal readership that has resulted due to the development of the Web has effected a marked shift in the readership of the journal, both geographically and intellectually, producing a new community of users who see only electronic versions of the journal. Commercial pressures on owners to satisfy the interests of the (mainly national and professional) print readership conflict with the editorial independence needed to respond to the vast Web constituency. This is a major source for compromise of editorial independence. Reduction of commercial pressures by transferring editorial costs to authors and by other cost-reducing models are discussed in this article.
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 | 0.050 | 0.176 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.010 | 0.016 |
| Scholarly communication | 0.036 | 0.042 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.008 | 0.012 |
| Insufficient payload (model declined to judge) | 0.024 | 0.011 |
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".