Broadening Tourism and Cultivating Sustainability: Exploring Opportunities in Bangladesh
Bibliographic record
Abstract
This paper explores how tourism can be understood as an opportunity to develop sustainable enterprise, providing business opportunities while also advancing social and environmental goals. While every country has multiple challenges to manage in the future, we argue that comprehensive planning for sustainable tourism can integrate several policy goals and realize compounded benefits as governments declare their commitment to ‘build back better.’ The need to plan for sustainable development is especially salient in the wake of the pandemic, and with climate change looming. Using Bangladesh as our case study, we consider how integrated and cross-sectoral planning for tourism could help provide more opportunities for visitors to appreciate the rich resources located there, such as the cultural heritage, and the rare species and mangroves of the Sundarbans, while simultaneously advancing policy goals for social welfare and the environment. We outline opportunities on the horizon, and by drawing on demographic data about the Bangladeshi diaspora, it becomes clear that heritage tourism has potential and merits further study. Finally, targeting the expansion of sustainable livelihoods can strengthen local economies and simultaneously help Bangladesh advance its efforts toward related national goals, including the UN’s SDGs (United Nations’ Sustainable Development Goals).
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".