Faculty Opinions recommendation of From symbiont to parasite: the evolution of for-profit science publishing.
Bibliographic record
Abstract
Two 17th century institutions-learned societies and scientific journals-transformed science in ways that still dominate our professional lives today. Learned societies like the American Society for Cell Biology remain relevant because they provide forums for sharing results, discussing the practice of science, and projecting our voices to the public and the policy makers. Scientific journals still disseminate our work, but in the Internet-connected world of the 21st century, this is no longer their critical function. Journals remain relevant almost entirely because they provide a playing field for scientific and professional competition: to claim credit for a discovery, we publish it in a peer-reviewed journal; to get a job in academia or money to run a lab, we present these published papers to universities and funding agencies. Publishing is so embedded in the practice of science that whoever controls the journals controls access to the entire profession. We must reform our methods for evaluating the contributions of younger scientists and deflate the power of a small number of "elite" journals. More generally, given the recent failure of research institutions around the world to strike satisfactory deals with publishing giant Elsevier, the time has come to examine the motives and methods of those to whom we have entrusted the keys to the kingdom of science. PMID: 31539315
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 | 0.002 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.024 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.303 | 0.325 |
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".