Examining interpretation services and pro-nature conservation behaviours in guided ecotours: do tour guides and tourists share the same lens?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
While ecotourism principles emphasize the importance of educating tourists on nature conservation, a significant knowledge gap persists regarding the effectiveness of eco-labelling for promoting conservation education and meeting ecotourists’ educational expectations. This study addresses this gap using mixed methods, examining perspectives from both the demand and supply sides. To understand tourists’ viewpoints, an empirical study evaluates how interpretation services during guided ecotours align with tourists’ nature conservation learning needs. Additionally, in-depth interviews with guides explore their interpretative performances and whether they prioritise an educational role in fostering tourists’ eco-friendly behaviours onsite. The integrated findings underscore a disparity between tourists’ expectations for their learning needs and guides’ interpretive service performance. Specifically, guides perceive shaping ecotourists’ pro-nature conservation behaviours as a complementary role, resulting in their interpretation services having a limited impact on encouraging responsible actions. Notably, results suggest that guides’ interpretative performance could significantly foster tourists’ conservation support and learning by using guiding tactics to evoke emotional empathy, promote positive emotions, and establish a connection to educational experiences. This study offers significant theoretical insights into ecotourism guide roles, interpretation dynamics, and pro-nature conservation behaviours, while proposing strategic implications to improve interpretation services, educational experiences, and sustainable ecotourism practices.
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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 | 0.003 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| 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 it