Bibliographic record
Abstract
The structures of dental education in near-Arctic countries and regions at all levels are considered and the place of the pedagogical component is increased in them. It was noted that the actively functioning structures of additional vocational education (DPO) in 8 countries of the Arctic Council (Denmark, Iceland, Canada, Norway, the Russian Federation, the USA, Finland, Sweden) determine the dynamics of the assimilation by practicing dentists and maxillofacial surgeons of the use of the latest high-tech technologies, and in recent decades also a complex of humanities, primarily psychology and sociology. This increases the role of the pedagogical component in the system of their professional training of dentists and maxillofacial surgeons; the experience of organizing training processes in this direction is also in demand by the structures of domestic dental education. Its parameters are characterized taking into account the specifics of the Arctic zone, including ensuring the health of teeth and oral cavity of representatives of small indigenous peoples; problems of staffing of dentists and maxillofacial surgeons and improvement of their qualification level are analyzed. Due to the coordination of educational and research activities, the postgraduate education system is characterized by the transfer of the latest skills and techniques in dental education.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".