Evaluating the Integration of Nature-Based Solutions Concept in Strategic Urban Planning in Romania
Bibliographic record
Abstract
Nature-based solutions (NbS) are innovative approaches oriented to address societal and environmental challenges. Increasing the interest to implement NbS in cities is strongly connected with their inclusion as potential measures in urban planning. The aim of our article was to assess the inclusion of NbS in Romanian urban development strategies. We used an evaluation matrix to systematically extract data from 249 urban development strategies. Using content analysis, we assessed the level of inclusion of NbS in different sections of the strategies. Only 10% of urban strategies include different aspects related to NbS concepts, while 40% of the documents are linking NbS to objectives. More than a third of the documents focused on the creation, modernization and maintenance of green areas meanwhile ecosystem services were not presented as specific benefits. This scarce presence of NbS in urban strategies warns about limited consideration of innovative approaches in urban planning, which could influence the capacity of Romanian cities to handle climate changes and to become more sustainable, resilient, and equitable.
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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 | 0.001 | 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 | 0.000 | 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) | 0.000 | 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".