METHODOLOGICAL ASPECTS OF THE FORMATION OF PROFESSIONAL EXPERIENCE IN THE PREPARATION OF FUTURE SPECIALISTS IN ACTIVE TYPES OF TOURISM
Bibliographic record
Abstract
The article deals with the problems of training specialists for active types of tourism in the context of the formation of their professional experience. The forms and methods of formation and correction of situational formalization of professional experience in the world’s leading training systems are analyzed. In particular: the training of adventure tourism guides at the universities of Canada and New Zealand, as well as certified IFMGA / UIAGM / IVBV mountain guide training.The article analyzes the existing systems of sports and tourist, and mountaineering training, which were methodically developed and formed in the USSR. It is shown that these programs have limited effectiveness in terms of the situational diversity of experience formation at the stage of sports growth of tourists and climbers. At the same time, it is precisely the insufficient variety of situational design of experience that is the reason for the emergence of the “extreme situation” factor. It is shown that the negative impact of the “extreme situation” factor can manifest itself either in the form of erroneous actions that affect the safety or in the form of depletion of the body’s functional reserves or even damaging effects from excessive compensatory mechanisms of the adaptive response.The article analyzes the results of the implementation of preparation for complex combined trips in the Arctic, based on the author’s method of purposeful formation of a diverse situationally designed hiking experience.It is shown that the implemented author’s technique made it possible to exclude the occurrence of the “extreme situation” effect among the participants, despite the impact of strong and prolonged stress factors during difficult hikes.In addition, the applied methodology made it possible to avoid the shortcomings of the traditional system of training in hiking tourism and significantly reduce the time for the formation of universal high-class sportsmen-tourists by at least half. Keywords: sports and tourism training; mountain guide; adventure tourism guide; professional experience; individual professional experience; situational design of experience; factor of “extreme situation”; category of difficulty; combined hike.
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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 | 0.021 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.011 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".