Градостроительное развитие территорий Приневья до основания Санкт-Петербурга: Водская пятина и Ингерманландия
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
On the basis of the Old Russian chronicles (8th–14th centuries), medieval Scandinavian texts (10th–14th centuries), Inventory Books of Novgorod, Moscow and Swedish periods (15th–17th centuries), the Swedish cartography (17th century), the issues of identification of the settlement distribution system on the territories along the Neva River, around the Ladoga Lake and the zone of the Gulf of Finland during the period before the foundation of St. Petersburg are considered in the article. The picture of formation and sustainable development during several centuries of the rural settlement distribution system including thousands of settlements and numerous versts (Russian measurement units) of roads is shown. Spatial and planning features of historical system of settlements had mainly North Russian nature of “nest-type construction”. Hundreds of settlements and thousands of kilometers of roads were included from 1703 to 1712 into the planning structure and quarter — sloboda (rural settlement) fabric of the capital city of St. Petersburg and its residential suburbs. Thereby, from the times of Peter I, a large-scale reconstruction of the historical settlement distribution system was carried out on the territories along the Neva River, turning the city into the urban capital agglomeration of the regular type. All this enables us to completely reject the established mythology about creation of St. Petersburg from scratch, without taking into account the historical spatial heritage.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.005 |
| Meta-epidemiology (narrow) | 0.006 | 0.007 |
| Meta-epidemiology (broad) | 0.007 | 0.004 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.011 | 0.004 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.018 | 0.042 |
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 it