Analysing the Public Administration and Decision-Makers Perceptions Regarding the Potential of Rural Tourism Development in the Azores Region
Bibliographic record
Abstract
Considering that tourism is one of the drivers of the development of peripheral territories, it seems essential to understand the main regional actors' opinions and perceptions to design more coherent and successful sustainable development regional plans.In this regard, the present study intends to assess the Public Administration and Decision-Makers perceptions Regarding the Potential of Rural Tourism Development in the Azores.Contextually, through an exploratory methodology, it was possible to assess the Azores Public Administration and Decision-Makers perceptions.Therefore, it was possible to understand that the majority believe that rural tourism has increased in the Azores Region's last decade (90.2%).Regional development has been positive and has positively impacted the local population (97.6%).Besides, the decision-makers and public administration assign greater importance to the "Protection and conservation of Nature" and "Greater commitment and political transparency" as the most critical factors for the success of rural tourism in the Region.The study also identifies the main benefits of this type of tourism for local communities: job creation, Strengthening the local economy, countering local desertification, and developing trade, services, and activities.Therefore, the design of future regional plans that aim at sustainable development must definitely consider the factors identified concerning rural tourism.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".