Regional Tourism at the Cross-Roads: Perspectives of Caribbean Tourism Organization’s Stakeholders
Bibliographic record
Abstract
The Caribbean has experienced considerable fluctuations with many of the small island-nations of the Region being highly vulnerable to socio-political, environmental and economic changes. The Caribbean Tourism Association (CTO) contends that this Region is highly dependent on tourism, possibly more than any other region in the world, but globalization has left the countries of the Region with limited economic alternatives. The result is that tourism has emerged as the largest employer and the foremost foreign exchange earner in the Region. This survey research study, data from which were analyzed with SPSS for Windows, explored three research questions and identified the Region’s strengths, assets and issues as perceived by stakeholders at the CTO’s 2010 Sustainable Tourism Conference. People, culture and favorable weather were identified as strengths. However, critical issues such the absence of clear political and policy directions, loss of biodiversity and natural resources, need for more efficient zoning and land use planning for integrated tourism development, and insufficient stakeholder involvement were characterized as challenges that must be addressed. Recommendations are proposed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 source (direct Gemma or distilled Codex), 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".