Utilização do sistema SEER - Sistema Eletrônico de Editoração de Revistas (OJS): a revista Maringá Management
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The importance of using the SEER (OJS) Open Journals Systens, journals, distributed by IBICT-Brazilian Institute of Information Science and Technology for the institutions that want to publish on-line journals and monitor and manager the whole process of editing. Through academic review on Open Archives Initiatives-OAI in journals online and their importance, the process of planning and deployment of the system institutionally by its importance. Using this system which is a Free Software, many institutions can to decide the big question of how to publish and make available its publications on the Internet. All publications that use the system will have their data shared in various repositories and harvesting of records and metadata called harvester, as the PKP-Public Knowledge Project University of British Columbia in Canada and OAISTER University of Michigan. With the objective of centralizing data, or institutional repositories thematic, enabling the publication can also be recovered internationally. It is the result of the deployment of SEER in the Faculdade Maringá. It was after presenting analysis software that the system has SEER resources beyond expectations, by providing, monitoring and evaluation by the author of the whole editorial process, possibility of monitoring the publication by all members involved in the publication, enabling disclosure route e-mail and a large quantity of services of publishing completely automated. And especially being a free software, is capable of improvements and adjustments.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it