TATA KELOLA DAN PUBLISHING MANAGEMENT OPEN JOURNAL SYSTEM
Bibliographic record
Abstract
Open Journal System (OJS) adalah sistem manajemen jurnal dan penerbitan online yang telah dikembangkan oleh Public Knowledge Project melalui upaya yang didanai pemerintah federal untuk memperluas dan meningkatkan akses pada penelitian. Proyek ini merupakanhasil kerjasama antara Faculty of Education di University of British Columbia, The Simon Fraser University Library, The School of Education at Stanford University, dan The Canadian Centre for Studies in Publishing at Simon Fraser University. OJS adalah perangkat lunak open source yang tersedia bebas untuk jurnal di seluruh dunia, sebuah pilihan yang layak untuk pengelolaan jurnal, dengan akses terbuka dapat meningkatkan pembaca sebuah jurnal dan juga kontribusinya terhadap kepentingan publik dalam skala global. OJS merupakan GNU Public License yang berarti seluruh salinan dokumennya bebas digunakan dengan tetap mempertahankan lisensi yang sama. Selain untuk penerbitan jurnal secara online, OJS juga menyediakan fitur untuk Ready to Publish (Jurnal yang siap dipublikasikan).
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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 | 0.010 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.010 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.029 | 0.019 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.193 | 0.214 |
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".