Monasteries and tourism: interpreting sacred landscape through gastronomy
Bibliographic record
Abstract
This article analyses the role of monasteries as a sacred space and how their relationship with tourism depicts a landscape of 'good taste'. Monasteries are examples of both tangible and intangible heritage, and are highly symbolic built spaces that have often become the guardians of tradition. They are strongly embedded within a local cultural landscape, which has determined their historical evolution. Monasteries used to be self-sufficient communities that relied on the resources available in their local environment, e.g. they produced their own wine, which was essential for the celebration of the Eucharist; or they preserved food from their own produce. Gastronomy in monasteries can be a tool to improve tourists' visitor experience, in so far as it respects the values that these sacred spaces represent. This article explores the literature on monasteries as sacred spaces; the relationship between their tangible and intangible heritage attributes; and how monasteries and their heritage are linked to tourism. This is illustrated through examples from Spain.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".