Tourism Changes on a Mediterranean Island: Experiences from Mallorca
Bibliographic record
Abstract
Mediterranean islands exemplify well the interactions between tourism, heritage and culture on islands. After an introduction that considers their heritage and the pressures which might be applied by tourism because of insular characteristics such as scale, the paper considers the Spanish island of Mallorca as a case study. First its history and consequent heritage is identified and then various stages in its tourism development, which might be recognized in Butler’s model, are treated with particular reference to two very different foreigner commentators on the island, George Sand and Robert Trimnell. The mass market tourism exemplified by Trimnell has brought a reaction and in recent decades Mallorca has given much more consideration to its environment and heritage, illustrated here through the example of the district of Calvià and its Local Agenda 21 policies. This has seen a considerable impact on the island’s tourism and marketing initiatives, as well as upon its natural environment.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| 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".