Bibliographic record
Abstract
Dear readers,The year 2017 marks the 55th anniversary of the Journal of Information & Communications of the Ministry of Information and Communications, and the 18th anniversary of its scientific publication – the Research and Development on Information and Communication Technology (RD-ICT) journal. Again, the purpose of RD-ICT is to provide a forum for researchers and professionals to disseminate original and innovative ideas in the fields of information technology, communications and electronics in Vietnam and worldwide.Without kind support and invaluable contribution of readers and authors, and hard work of the anonymous reviewers and editors under the former editorship of Prof. Nguyễn Thúc Hải, Prof. Trần Văn Lộc and Prof. Nguyễn Cảnh Tuấn, RD-ICT would not be what it is today – a total of 37 issues in Vietnamese and 14 issues in English.To contribute to the development of research in Vietnam, toward standard practices, high quality and international visibility, RD-ICT has been taking measures by following current practices of prestigious international research journals. In this editorial, we would like to inform you some of the things we have been doing lately.Since June 2014, RD-ICT has applied online journal management and publishing, thanks to the well-known open-source Open Journal System of the Public Knowledge Project, which is used by thousands of online scientific journals worldwide. The editorial board of RD-ICT is currently being extended to include international prominent scientists, thus forming a team of international associate editors, under the complementary technical editorship of Prof. Đỗ Ngọc Minh (University of Illinois at Urbana-Champaign, United States), Prof. Nguyễn Hoàng Hà (University of Saskatchewan, Canada) and Prof. Nguyễn Linh Trung (Vietnam National University, Hanoi). Each submission is now assigned to an associate editor who then coordinates the review process and makes editorial decision.For improved paper quality in terms of organization and presentation, authors are guided to good practice of technical paper writing. In addition, accepted submissions are now copy-edited, by the corresponding associate editors, and laid out using LATEX.Apart from already being an open-access journal, RD-ICT is also looking into other measures to increase its visibility, such as all-English publishing, digital object identification, Google Scholar citation, and SCOPUS indexing.Taking the opportunity of informing the above changes, we would like to, again, express our sincere gratitude and appreciation to the readers, authors, reviewers and editors of RD-ICT, and to the leadership of the Ministry of Information and Communications and its predecessors – the Directorate General of Posts and Telecommunications, the Ministry of Post and Telecommunications – for their continued support and contribution to RD-ICT.We look forward to your comments and feedback for better developing the RD-ICT journal for Vietnam.Sincerely,Vũ Chí Kiên, Editor-in-ChiefĐỗ Ngọc Minh, Nguyễn Hoàng Hà, Nguyễn Linh Trung, Technical Editors-in-Chief
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 | 0.004 | 0.034 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.127 | 0.089 |
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".