Future of scholarly publishing and scholarly communication report of the expert group to the European Commission
Bibliographic record
Abstract
The report proposes a vision for the future of scholarly communication; it examines the current system -with its strengths and weaknesses- and its main actors. It considers the roles of researchers, research institutions, funders and policymakers, publishers and other service providers, as well as citizens and puts forward recommendations addressed to each of them. The report places researchers and their needs at the centre of the scholarly communication of the future, and considers knowledge and understanding created by researchers as public goods. Current developments, enabled primarily by technology, have resulted into a broadening of types of actors involved in scholarly communication and in some cases the disaggregation of the traditional roles in the system. The report views research evaluation as a keystone for scholarly communication, affecting all actors. Researchers, communities and all organisations, in particular funders, have the possibility of improving the current scholarly communication and publishing system: they should start by bringing changes to the research evaluation system. Collaboration between actors is essential for positive change and to enable innovation in the scholarly communication and publishing system in the future.
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 | 0.084 | 0.075 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.026 | 0.010 |
| Open science | 0.005 | 0.006 |
| Research integrity | 0.020 | 0.007 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".