Componentes de competitividad turística en los museos del distrito de Barranquilla
Bibliographic record
Abstract
The research aims to analyze the components of tourism competitiveness in the museums of the Barranquilla District, considering their potential as promoters of culture and tourism in order to highlight the problems they face. The sample was made up of 7 controlled museums in the Barranquilla District, applying an adaptation of the Calgary Model by Ritchie & Crouch (2003) (2003), of tourist competitiveness. The results indicate that in the museums of the Barranquilla District the components of tourism competitiveness are in a neutral position, where it is highlighted that most of these have the necessary infrastructure to provide a pleasant experience to their visitors, but it is necessary to strengthen the cultural offer where museums are exposed, that public policies include and support these institutions and lastly, involve them in the cultural marketing that the Barranquilla District currently enjoys. Based on the information found, guidelines and recommendations are proposed aimed at promoting museums and their work in elements of tourism competitiveness.
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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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 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".