Rural Development in a Function of Local Economic Development: Case Study of Municipality of Krushevo
Bibliographic record
Abstract
The local economic development is a process in which the local authorities and partners from the business sector and the non-governmental sector work together to improve the business climate. Through positive financial results conditions for economic growth are created and the employment opportunities are increased. Most of the municipalities in the Republic of Macedonia are still at an early stage of development of the idea of local economic development, due to fact that the preparation of the municipal strategies and action plans are the only activities carried out in this direction so far. The National Strategy for Agriculture and Rural Development for the period 2009-2013 stresses tourism and agriculture as priority areas for development of the country and analyzes the situation and the range of responsibilities of the Ministry of Agriculture, Forestry and Water Management. Parallel, the national programs facilitating agriculture and rural development in Macedonia in favor of global trends for creation of sustainability in rural regions through the development of agriculture and additional activities for families living or returning to rural areas (villages). The rural development through the few authentic examples in Macedonia already shows the first interest although the contours of the branch are not defined yet. The rural development is able to a greater extent to meet the needs of the modern man that the urban environment is not able to satisfy. To clarify what can be these unmet needs and to answer the question of interest due to demand for this type of tourism, it is necessary to analyze contained rural tourism.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".