Uso de periódicos científicos eletrônicos por docentes e pós-graduandos do Instituto de Geociências da USP
Bibliographic record
Abstract
A pesquisa analisa a aceitação e utilização de periódicos científicos eletrônicos por docentes e alunos do curso de pós-graduação do Instituto de Geociências da Universidade de São Paulo, com o objetivo de identificar a possibilidade de atuação da biblioteca como facilitadora/intermediadora desse processo. Foram enviados 178 questionários, com taxa de retorno de 79,8%. Os resultados indicam que os docentes e pós-graduandos utilizam de forma rotineira periódicos eletrônicos em suas atividades de ensino e pesquisa, apesar de a cultura impressa ainda estar fortemente presente. A maior dificuldade observada foi na identificação e seleção dos recursos informacionais mais adequados, o que abre uma gama de possibilidades de atuação para a biblioteca. Questões como preservação e arquivamento da informação, garantia de acesso ao longo do tempo, desenvolvimento de interfaces confiáveis e disponibilização de coleções retrospectivas precisam ser definidas e resolvidas para a aceitação do periódico científico eletrônico. Palavras-chave: Periódico científico eletrônico. Periódico científico. Comunicação científica. Use of electronic scientific journals by professors and students from the course of graduation at the Instituto de Geociências at the USP Abstract This research analyzes the acceptance and utilization of scientific electronic journals by the teachers and students of post-graduation course of São Paulo Geosciences University for the purpose of identifying the possibility of using it at the library as a facilitator/intermediator of this process. 178 questionnaires were sent with a rate of 79.8% of reply. The results show that the teachers and post-graduation students utilize electronic journals as a routine in their activities of teaching and research, although printed literature is still widely used. The major difficulty has been the identification and selection of the most adequate information resources, what opens up a range of possibilities for its performance at the library. Issues, for instance, as information preservation and storage, assurance of access as time goes by, development of reliable interfaces and availability of retrospective collections have to be defined and solved for the acceptance of scientific electronic journals. Keywords: Scientific electronic journal. Scientific journal. Scientific communication
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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 | 0.005 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".