Creating a Waterproof City along the Mediterranean Sea
Bibliographic record
Abstract
The European Commission adopted the European Adaptation Strategy obliging all the Member States to implement national plans in order to to cope with the inevitable Climate Change impacts by 2017. Creating a waterproof city requires intensive cooperation, public awareness and citizen involvement. The issues are very topical because of the recent increase in extreme events related to climate change: heavy rains, tornadoes, water scarcity, drought. Recent years have witnessed phenomena due to climate change, with temperatures and rainfall levels that are of significant interest not when drawing up average figures, but especially in the maximum seasonal and daily peak intensity figures. The methodology looks at some case studies that have been characterized by the experimentation of policies and strategies for the successful adaptation and mitigation of hydraulic risks, in particular with regard to the preparation of climate adaptation strategies that have been tested successfully in some cities like Copenhagen, Rotterdam and Vancouver. The main goals and results of the research are related to the possibility of repeating the most successful proceedures, with the aim of providing the municipalities of Southern Italy, and in particular of the Calabrian and Sicilian areas, with the appropriate tools and strategies to create waterproof cities with the full involvement of the settled communities. Creare una Waterproof City lungo il mare Mediterraneo La Commissione europea ha adottato la strategia europea di adattamento con l'obbligo per tutti gli Stati membri di attuare piani nazionali per far fronte agli impatti dei cambiamenti climatici entro il 2017. Creare una città waterproof richiede un'intensa cooperazione ed un forte coinvolgimento dei cittadini. Le questioni sono di grande attualità a causa del recente aumento degli eventi estremi legati ai cambiamenti climatici: forti piogge, tornado, scarsità d'acqua, siccità. Negli ultimi anni ci sono stati fenomeni dovuti ai cambiamenti climatici, con temperature e precipitazioni che hanno valori significativi di interesse non nella conformazione del valore medio, ma soprattutto nella massima intensità di picco stagionale e giornaliera. La metodologia prevede lo studio di alcuni casi studio in italia e nel mondo che si sono caratterizzati per la sperimentazione di politiche e strategie di successo nell’adattamento e mitigazione dei rischi idraulici, in particolare riguardo la predisposizione di strategie di adattamento climatico che sono state sperimentate con successo in alcune città come Copenhagen, Rotterdam, Vancouver…Gli obiettivi ed i risultati della ricerca sono relativi alla replicabilità delle best practices analizzate, con lo scopo di fornire ai comuni del Mezzogiorno italiano, ed in particolare delle zone di studio calabresi e siciliane, gli opportuni strumenti e strategie per realizzare delle waterproof city con il pieno coinvolgimento delle comunità insediate.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.049 | 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".