Sustainable tourism and the Sustainable Development Goals in sub-national island jurisdictions: The case of Tobago
Bibliographic record
Abstract
Tourism has the potential to contribute to achieving the Sustainable Development Goals (SDGs) agreed to by United Nations member states. For sustainable tourism to be successful, stakeholders must be involved in the process. The aim of this study is to consider the extent to which sustainable tourism contributes to achieving the SDGs and how tourism stakeholders understand and implement sustainable tourism. Specifically, the study adopted a qualitative approach and used the case study of Tobago. The data were collected using focus groups of tourism stakeholders. The research revealed that stakeholders embraced the SDGs despite a lack of understanding. They were unable to provide a comprehensive definition of sustainable tourism and their relation to the SDGs, but recognised its traditional components along with specific island features. Stakeholders more easily listed sustainable tourism practices and potential and their link to the SDGs. The barriers to sustainable tourism centred mainly on the role of the local governing body and political affiliation, dependency on the mainland, and prohibitive costs. Action is needed to facilitate broader stakeholder awareness and collaboration in support of efforts to enhance sustainable tourism and the achievement of the SDGs, where policymakers need to act as a catalyst for change.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 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 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".