Promoting sustainable development through fisheries-related tourism experiences. Benefits from the integration between fisheries and tourism in venetian coastal areas
Bibliographic record
Abstract
Fisheries-related tourism is developing in several European coastal regions as a product that, by linking fisheries to tourism, can be an answer both to the need to develop innovative tourism products and to the priority to find new sources of income for profitable and more sustainable fisheries. The paper discusses the main findings of a research project carried out by the authors about the potentials of pescatourism along Venetian coasts in Italy. It focusses on the opportunities coming from pesca-tourism in terms of additional income for fishermen, economic benefits on the destination due to new tourists' spending, improvement in the quality of life and awareness about ecosystems' fragility and sustainable development. In particular, the paper shows pesca-tourism potential for the area in the medium-long term, provided that a win-win cooperation is established among local stakeholders, tourism operators and fishermen. According to the findings, fisheries-related tourism represents a way of differentiating tourism products, by promoting a broader territorial experience with a positive economic return on various public and private players, together with a more sustainable approach towards tourism and fisheries development.
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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 | 0.000 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".