Retrospective and geographical features of forestry use of lands in Podilski Tovtry
Bibliographic record
Abstract
Abstract Forest cover is an important component of the landscape and is responsible for the conservation of other components. Forests of the Podolian Upland are distinguished by a high natural resource potential and a significant risk of manifestation of unfavorable natural processes. The aim of our research is to study the forest cover of Podilski Tovtry and analyze the dynamics of its changes for the period from 1880 to the present. Forestry nature management in Tovtry is second only to agriculture in terms of the area of occupied land. Forests of the reef zone and adjacent territories within the Ternopil oblast are part of the Ternopil forestry enterprise and the Medobory Nature Reserve. Within the study area, forests of a relatively large area are confined to the summit surface and slopes of the main ridge. Our research has established that in the period from 1880 to 1930, there was a significant decrease in forest cover practically throughout the entire study area, which is associated with both the need for firewood and agrarian overpopulation and the desire to expand the arable land. A direct relationship was found between the decrease in forest cover and the approach to villages and hamlets. After the Second World War and until the present, there have been no significant changes in forest cover. In some areas, even an increase in forested areas was found. Active forest expansion was observed at the beginning of the two thousandth years amid a decline in agricultural production.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".