Tourism behaviour: travellers' decisions and actions
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
<title>Abstract</title> This book focuses on individuals' and households' thinking and behaviour relating to discretionary travel. Part I (chapters 1-3) covers new theories of tourism behaviour and offers examples of empirical examinations of these theories in three settings: Australia, Hawaii (USA), and Prince Edward Island (Canada). Part II (chapters 4-11) builds and examines a theory comparing leisure traveller plans and behaviour. The eight chapters in part II cover all four possible behaviours: (1) planned and done (deliberate strategies); (2) planned and not done (unrealized strategies); (3) unplanned and done (emergent strategies); and (4) unplanned and not done (unused but possible strategies). The trade-offs made in life among work, leisure, travel and personal maintenance actions and how plans actually relate to deeds are therefore considered. Plans and behaviours for tourist spending, length of stay, attractions, destinations, accommodation and activities are reviewed and how marketing strategies affect consumer plans are investigated. This book is intended for travel and leisure researchers, destination marketing managers and advanced students in tourism and consumer behaviour. The book has a subject index.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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