Savouring tourist experiences after a holiday
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
Currently, there are no major models of savouring in leisure and tourism studies. This paper reports on an exploratory study that investigated how tourists reminisce about, or retrospectively savour, their holiday experiences. We aimed to identify which positive emotions are experienced by tourists when they reminisce about past holiday events and what types of tourist experiences are associated with their positive emotions. Using thematic content analysis, we examined 181 written travel blogs of a group of Chinese independent tourists following their trip to Australia. The emotion of joy was the most savoured emotion, followed by interest, contentment and love. Joy, interest and contentment were most commonly linked to experiences that involved observations of natural scenery, while love was the emotion that was linked to acts of kindness with the locals. The study reported in the paper supports existing knowledge on the relationship between experiencing positive emotions and being in nature.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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