Land use changes and dynamics over the last century around churches of Moldavia, Bukovina, Northern Romania – Challenges and future perspectives
Bibliographic record
Abstract
In this study, the land use around the Churches of Moldavia, UNESCO WH (World Heritage) sites, has been analysed using photo interpretation and GIS. The cartographic analysis used historical maps and modern orthophotos to highlight the main changes that took place over the last century in the area surrounding the sites, which has been extended to 1 km buffer. Historical maps and orthophotos of the years 1917, 2005, and 2016 have been processed to identify the present and historical changes in one of the most well-known historical areas of Eastern Europe. Monuments have a significant universal, national, and local value, contributing to the touristic development of the area. The most important processes that can affect the integrity of the monuments are the deforestations and the anthropogenic environmental changes. Significant changes took place around Probota, Humor, Patrauti and Arbore churches, while Sucevita, Voronet and Moldovita churches still preserve the natural landscape specific to the Bukovina historical area; Suceava church is part of a strongly urbanised landscape.
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 | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".