Tourists’ psychological reactions and destination attachment following an earthquake in Jiuzhaigou, 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
Few tourism studies have focused on tourists who have been victims of a disaster. Their destination attachment has implications for re-establishment of market confidence and resilience. Structural equation modelling of data from 242 tourists who were victims of the Jiuzhaigou earthquake was used to explore their feelings of attachment. The results confirm that earthquake-affected tourists can generate positive emotional attachment toward the destination. Destination attachment is related to such factors as positive emotions, social support, and severity of disaster exposure. Positive emotions mediate the relationships between severity of disaster exposure, social support and destination attachment. It is revealed that experiences of a disaster event can be a turning point, prompting positive change in tourist-destination relationships across the destination life-cycle. Implications for emergency management and for post-disaster market recovery are presented.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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