INTERNATIONAL EXPERIENCE IN AGRICULTURAL LAND PROTECTION THROUGH SPATIAL PLANNING METHODS (REVIEW PAPER)
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
While urban land use planning receives much attention in land management in Bulgaria, agricultural land use planning has been significantly neglected. Today, more than ever, effective and efficient land use planning is needed to address the global and local challenges, such as protecting prime agricultural lands for food production, achieving sustainable productivity gains, improving water use efficiency, reducing greenhouse gas emissions, etc. The objective of the paper is to review the international experience in rural and agricultural land use planning and its theoretical foundations, to identify and analyze the gaps in Bulgarian legislation in this area, and to develop some scientific ideas for including agricultural land planning into Bulgarian Regulatory Framework and its further implementation in practice. The need for agricultural territory planning in Bulgaria is emphasized. Intra-zoning of agricultural land on a holistic basis is proposed as a useful planning method for balancing agricultural development with the environmental protection, while maintaining both land productivity and the quality of natural resources. Information from strategic planning documents and literature resources from the USA, Canada, Australia, European and other countries is presented and analyzed. Issues of building permits, land categorization systems and assessment of land suitability for growing agricultural crops are studied.
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.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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 it