Evaluating the impact of agritourism on local development in small islands
Bibliographic record
Abstract
Tourism is an activity encompassing economy, society and nature. Besides mass tourism, many different forms of tourism activities and products have developed and are gaining ground in terms of demand. Debates on the definition of such typically small scale activities have brought forward a number of different types, including ‘agrotourism’, ‘agritourism’ and ‘rural tourism’. This paper contributes to the conceptual analysis of agritourism with a focus on its effects on local development. After a brief historical sketch of agritourism development, the effects on local development found in the literature are presented. Then, a typology of different forms of agritourism is discussed, including aspects of supply and demand, the scale of operation of the enterprises and networks of enterprises related to agritourism. Finally, we explore the case of small islands, a special type of space, and their local development with these types of ‘alternative’ tourism activities alongside ‘conventional’ tourism. The conceptual framework that results suggests the need for a case and area specific mapping of type, scale and network of enterprises in order to determine impacts and provide important information for managing and planning agritourism, especially on islands.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".