Green and Safety School Regional Program to Sustainable Development Using Limited Traffic Zone
Bibliographic record
Abstract
The traffic around the schools is one of the worst events for sustainability. The effects are heavy for pollution, for safety deriving from multiplied walk-car cross, for autonomy reduced for student. This paper discusses on Green and Safety School program that realizes Limited Traffic Zones (LTZ) around the schools. Calabria Region has made political and technical decisions oriented towards sustainable development, according to international, European and national targets: by Regional Transportation Plan (RTP), the Region has implemented several ways for realization of the planned measures relative to the urban centres defined by Action 2 Urban areas; by School Plan and program the Region has invested to reduce the vulnerability of school building. The aim of Green and Safety School program is offering a new and never developed field for social, economic and environmental sustainability in urban areas and to propose a strategy for traffic control near schools from basic considerations regarding a problem common of all cities around the world. This program derives from the results obtained with two different previously implemented programs: one relative to the rebuild of school who reduce risk (Scuola Sicura) and another one to the City logistics (leaving from RTP). From an advanced synthesis of these 2 programs born the very new use of LTZ. Green and Safety School is oriented to guarantee green areas and to reduce risk outside school. Even if the program leaves before COVID-19, it assumes significant importance to guarantee social distancing.
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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 | 0.000 | 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".