Bibliographic record
Abstract
In 2021, the International Journal for Computers, Communications and Control (IJCCC) entered its 16th year of existence. The first issue of the sixteenth volume of IJCCC was planned to be a special one dedicated to pay a tribute to the exceptional work and results of Lotfi Zadech, a great scientist born in 1921, who in uenced an immense number of the scholars all over the world. That special issue was thought and organized by Ioan Dzitac who wrote the Editorial. Several outstanding scholars were invited and accepted to publish in the intended special issue. It was Ioan Dzitac's last paper. Unfortunately, on 6th February, when the special issue was almost ready to be published, the heart of Ioan Dzitac suddenly stopped beating. Now, it is our sad duty of honour to propose to collaborators and readers of our journal a special issue meant to commemorate and pay a tribute to Ioan Dzitac, an honest and generous person, a talented and hardworking scientist and professor, an effective and empathic manager, a close and dear colleague and friend.
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 | 0.005 | 0.030 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.014 |
| Insufficient payload (model declined to judge) | 0.019 | 0.023 |
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".