Risk perceptions and behavioral intentions of wildlife tourists during the COVID-19 pandemic in China
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
The COVID-19 pandemic is having a huge impact on global tourism, including wildlife tourism. Based on the Theory of Planned Behavior (TPB), risk perceptions of wildlife tourism are explored and a structural equation model is created of the influence of COVID-19 on tourists' behavioral intentions in China. A total of 677 quantitative surveys were obtained in April and May 2020. The results indicate that attitude, subjective norms and perceived behavioral control all have predominantly significant positive effects on behavioral intentions regarding tourism and protective behavior. In addition, approximately 70% of respondents considered the COVID-19 pandemic had increased their perceptions of risk and weakened their behavioral intentions regarding wildlife tourism and animal protection. This study contributes to the literature on wildlife tourism in the context of the COVID-19 pandemic and provides timely practical insights into guidelines for the wildlife tourism industry, as well as safety precautions.
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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 | 0.002 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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