Measuring, rating, supporting, and strengthening open access scholarly publishing in Brazil
Bibliographic record
Abstract
This study assesses the extent and nature of open access scholarly publishing in Brazil, one of the world’s leaders in providing universal access to its research and scholarship. It utilizes Brazil’s Qualis journal evaluation system, along with other relevant data bases to address the association between scholarly quality and open access in the Brazilian context. Through cross tabulation among these various data sets, it is possible to arrive at a reasonably accurate picture of journals, systems, ratings, and disciplines. The study establishes reliable measures and counts of Brazilian scholarly publications, the proportion and types of open access, and journals ratings and by disciplinary field. It finds that the better the Brazilian journal, the more likely it is to be open access. It also finds that Qualis ranks Brazilian journals lower overall than the international journals in which Brazilian authors publish, most notably in the field of the biological sciences. The study concludes with a consideration of the policy implications for building on the country’s global leadership in open access to strengthen the quality of its global contribution to knowledge.
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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 | 0.020 | 0.106 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.010 | 0.014 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".