Sustainable tourism action plan in the mediterranean coastal areas
Bibliographic record
Abstract
The preservation of the environment, culture and local traditions and the participation of people are the aspects to consider for a sustainable tourism.In this regard, tourist sustainability should involve the environmental, socio-economic and cultural dimensions.The Mediterranean has always been the ideal framework for a sustainable tourism; the environment and the cultural heritage existent, in particular in coastal areas, is in fact considerable.The beauties of these areas are still today visited by millions of tourists.Despite the importance of the topic, observing the current regulations, a tool specifically dedicated to the management of the tourism has not been identified.Therefore, an accurate planning is essential to define innovative strategies aim to combine the benefits to the negative impacts of tourism.This paper proposes a Sustainable Tourism Action Plan -STAP -that seeks to combine these two closely linked aspects.In fact, impacts of tourism -alteration of the landscape, resource depletion and air pollutionare incident precisely on touristic destinations.For example, the thematic tourism (rural, natural,...) is particularly orients towards the sustainability, and it has positively impact on the major tourist pressures (high number of visitors, seasonal concentrations, use of polluting means of transport,...).More generally, the above Action Plan is aimed to realize an international strategy adaptable to local situations, to promote sustainable development at the national level and to encourage the creation of networks among different Mediterranean coastal areas.The proposed methodological approach has been applied in Liguria, one of the most visited regions in the Mediterranean.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".