Heritage, Tourism and Museums: the case of the North Atlantic islands of Skye, Scotland and Prince Edward Island, Canada
Bibliographic record
Abstract
Heritage tourism, and the products and experiences related to it, represent a growing attraction in international tourism and the museum is a potential partner in the development of heritage activities for tourists. This paper explores the relationship between tourism and museums and analyses their roles in relation to heritage. It recognises that the shared characteristics of tourism and museums provide a basis for the two to work together in the development of heritage tourism. This exploration is illustrated by the comparison of case studies of legislated museum provision and their relation to tourism on two North Atlantic islands. In conclusion, the paper argues that while in some cases museums may be seen as somewhat reluctant partners in the process of heritage tourism they are in fact constrained by traditional roles and responsibilities and influenced by both differing jurisdictional contexts and views as to their functions.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.028 | 0.010 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".