Volunteer tourism: its role in creating conservation awareness
Bibliographic record
Abstract
This paper explores the perceptions of the impact that volunteer tourism has on the conservation awareness of non-volunteer tourists at the Elephant Nature Park (ENP) in Chiang Mai, Thailand. The ENP is a privately owned sanctuary that rehabilitates injured and abused elephants and relies on tourism and volunteer tourism for its upkeep. Data for this study were obtained through the use of self-administered questionnaires administered to 200 participants during both their pre-visit and post-visit at the ENP. Results showed that after spending time at the park, visitors' awareness about volunteer tourism increased. Participants felt that volunteer tourism increases awareness about conservation issues and volunteering, makes a considerable contribution to conservation, and brings necessary funding to conservation projects. Furthermore, non-volunteer tourists also expressed an interest in volunteering at the ENP, volunteering at home, and donating money to animal conservation organisations. The model of volunteer tourism utilised by the ENP was thus shown to be an effective tool for creating awareness about domestic elephant conservation issues in non-volunteer tourists.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".