Holiday photographic trends: Geographic origin and the male/female divide
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
This study aims to examine the influence of geographic origin and gender on photo-taking and photo-sharing behaviours. An online survey was circulated in four geographical areas: Australia, Canada, India, and Malaysia. The survey questions asked respondents’ preferred types of photographic device, photo-content, photo-taking motivation, and photo-sharing behaviours while on holiday. Data were analysed using crosstabulation with Chi-square, controlling for gender, and reporting strength of association with Cramer's V. Results show geographic origin and gender are significant indicators of tourists’ photo-taking and photo-sharing behaviour. The number one preference for male/female respondents from India and Malaysia is taking photos of family, which are shared on social media. While nearly a third of male respondents from Australia and Canada do not share holiday photos on social media. Knowledge of this type may assist tourism marketers and destination marketing organisations (DMOs) to personalise their tourism offerings according to geographic region and gender.
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 | 0.018 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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