Buttressing social return’s influence on travel behaviour
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
With peer perceptions of vacation pictures on social media becoming firmly entrenched into the tourist psyche and the destination selection process, this paper buttresses the burgeoning research on social return’s influence on travel behaviour through additional theoretical development and empirical investigation. The paper assesses the cross-cultural construct and predictive validity of the Social Return Scale across the United States of America’s top-five international travel markets (Canada, Mexico, United Kingdom, Japan, and China) using a modified Theory of Planned Behaviour model grounded in Guttman’s means-end chain model and Kenrick’s Fundamental Motives Framework. Results confirm the scale’s superb validity providing researchers with the theoretical and empirical support to confidently utilize the Social Return Scale to measure the perceived social return of different travel experiences across different contexts and cultures.
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 | 0.000 | 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 | 0.000 | 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) | 0.008 | 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