Planning for Sustainable Development: A Case Study of the Legal Factors in the Public Administration System
Bibliographic record
Abstract
The main purpose of the article is to improve the sustainable development planning system in the region.For this purpose, Poland and its features of sustainable development were chosen as the object of study.It should be noted that the scientific task was to improve the efficiency of the public administration system in the region, which will enhance the process of sustainable development planning itself.To do this, it is necessary to highlight the most problematic legal negative factors.To this end, the research methodology involves the use of graph theory through hierarchical analysis and SWOT analysis.As a result of the study, the SWOT matrix itself was presented and a list of the most significant negative factors influencing sustainable development planning was identified.The calculations carried out demonstrated the most significant negative factors and their ordering made it possible to present a counteraction plan in accordance with priority.The study is limited by considering only legal factors.Further research should be devoted to taking into account socio-economic factors too.
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".