Perceptions of the Quality of Nature-Based Tourism in Sundarban in Local and Foreign Visitors: A Case Study from Karamjal, Mongla
Bibliographic record
Abstract
The recreational behaviour of visitors to Karamjal Forest Station in Sundarban, Bangladesh, was determined by interviewing 150 visitors. The majority of visitors were locals from Bangladesh (90%); however, recreational behaviour varied significantly between local and foreign visitors. More than half of the visitors reported coming to Sundarban for the first time. Most of the visitors were travelling for recreation and derived satisfaction from watching wildlife, particularly deer and crocodiles, and the beauty of the forest. Foreign visitors expressed more satisfaction with boat journeys than local visitors, while less educated visitors expressed more dissatisfaction with boat travel than highly educated visitors. To the question, ‘How would you describe the quality of the recreational benefits of nature-based tourism in Karamjal?’ most visitors answered “poor” or “very poor”. Visitor perception varied significantly by income level, and people of higher financial status were more satisfied than people of lower financial status with the recreational benefits of nature-based tourism in Karamjal.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".