The 17th Theoretical and Practical Conference “Opportunities For Development of Regional Studies of Siberia and Neighbouring Areas”
Bibliographic record
Abstract
Preface These Conference Proceedings contain the selected papers of the 17 th theoretical and practical conference with international participation "Opportunities for development of tourism of Siberian region and neighboring areas" which was held from 30 October to 1 November 2018 in Tomsk. The conference was organized by National Research Tomsk State University. It was supported by the Tomsk regional branch of the Russian geographical society, the Department of culture and tourism of Tomsk region, the Department of General education of Tomsk region and the Tomsk city Administration. The Program Committee included Professor of the Carleton University (Canada) R.E. Ernst, Professor of the Tomsk state University Nina S. Evseeva, Professor of the Tomsk Polytechnic University Natalia A. Kolodiy, head of the Department of local history and tourism of the Tomsk state University Larisa B. Filandysheva, head of the Department of recreational geography, tourism and regional marketing of the Altai state University Alexander G. Redkin, head of the Laboratory of Self-Organization of Geosystems Institute of Monitoring of Climatic and Ecological Systems of the Siberian Branch of the Russian Academy of Sciences Pavel S. Borodavko and other famous scientists. The presented materials combine the results of a structural and compositional study of tourism and local history of Siberian region and neighboring areas. Issues of management and marketing of tourism, it's geographical, economic and historical aspects developing were considered. This conference became a convenient platform for wider exchange of scientific information between specialists from higher education institutions, academic institutions and business companies. Section for young researchers with the aim of developing their scientific and creative potential in the field of modern recreation and tourism was foreseen by the conference program. We thank all participants for the initiative and active support of the conference. List of Scientific editors are available in this Pdf
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.050 | 0.004 |
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".