Differentiating Competitiveness through Tourism Image Assessment
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
On the basis of the idea that an understanding of tourists’ perceptions and preferences will enable destination managers to design actions that are coherent with potential visitors’ expectations, this study aims to analyze the destination image perceived by visitors of Andalusia and its provinces over the past decade. A slightly modified Bray–Curtis dissimilarity index is calculated in order to synthesize in a single value the evolution of these destinations’ image during that period. The values obtained enable the identification of those provinces whose image has the strongest influence on the overall destination image of Andalusia. An examination is then made of which of the four major competitiveness components proposed by the Calgary Model explain the better or poorer quality of those destination images. Electre II methods are also applied to obtain a ranking of the provinces according to their level of attractiveness, as perceived by tourists.
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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 | 0.014 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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