When Severe Weather Becomes a Tourist Attraction: Understanding the Relationship with Nature in Storm-Chasing Tourism
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
Abstract Since the mid-1990s, tourists can purchase storm-chasing tours to observe dangerous, potentially deadly natural phenomena—that companies cannot guarantee will occur. This context calls for a better understanding of the core aspect of the relationship between storm-chasing tourism and severe weather. What interest in severe weather spurs people to embark on storm-chasing tourism? How do they deal with severe weather becoming a tourist attraction through storm-chasing tourism? The present exploratory study investigates these questions using a qualitative methodology. It first examines the ways severe weather is depicted in participants’ discourse and on storm-chasing companies’ websites, illustrating they are multiple and intersecting. It then describes the various rationales used by tourists, guides, and owners when they discuss storm-chasing tourism turning severe weather into a tourist attraction, showing how the activity contributes to nature’s commodification process. Seeking to provide an initial anthropological interpretation of the findings, this study suggests that storm-chasing tourism brings together acceptance and exploitation of nature. Indeed, severe weather appears to be sought for its power over humans while also being marketed as an ordinary commodity. Albeit preliminary, this study sheds light on a fundamental feature of storm-chasing tourism that researchers have not yet fully addressed and enhances the comprehension of a piece of humankind’s relationship with nature in current Western societies.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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