Cultural Heritage Tourism along the Viking Trail: An Analysis of Tourist Brochures for Attractions on the Northern Peninsula of Newfoundland
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
THE GROWING ANTHROPOLOGICAL INTEREST in tourism has been primarily due to tourism’s large, and often uneven, economic impact on people around the world (Desmond 1999, xvii; Fotsch 2004). Additionally, a great deal of tourism is focused on the cultural diversity that makes up the subject matter of cultural anthropology. This diversity is the primary “attractor” (what attracts tourists to an area, see Smith 1977/1989, 4-6) of visitors in many tourism industries. Diversity plays a secondary, or other important role, in many others. This paper examines the function of different cultural heritage categories in the tourist promotion of the Great Northern Pen-
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it