Bibliographic record
Abstract
В статье раскрывается содержание понятия «образовательный туризм», сложившееся в период правления Петра I, прописаны его основные характеристики. Автором представлены приоритетные направления образовательного туризма, имевшие место в начале XVIII в. На материалах писем и путевых заметок представлен собирательный образ студента эпохи Петра I, получавшего образование за границей, который совмещал в себе цивилизационный и варварский компоненты. Ментальная карта студентов XVIII в. претерпела значительные изменения. В ней прослеживается постепенное движение от варварского к цивилизованному восприятию окружающей действительности. Это нашло отражение в появлении новых интеллектуальных конструктов ментальной карты и изменении приоритетов в оценке значимости пространства. The article reveals the content of the concept of «educational tourism», formed during the reign of Peter I, its main characteristics. The author presents the priority directions of educational tourism that took place in the beginning of XVIII century On the materials of letters and travel notes presents a collective image of the student of the epoch of Peter I, who received education abroad, which combined the civilization and barbarian components. The mental map of students of the XVIII century has undergone significant changes. It traces the gradual movement from barbaric to civilized perception of the surrounding reality. This is reflected in the emergence of new intellectual constructs of the mental map and changing priorities in assessing the importance of space.
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.012 |
| Scholarly communication | 0.016 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.026 | 0.010 |
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".