Risk-taking on Her Lonely Planet: Exploring the Risk Experiences of Asian Solo Female Travellers
Bibliographic record
Abstract
Recent advances in gender equality have improved women’s employment and with their increased economic independence, women now have greater opportunities to travel and more choices to make about travel. A rising interest in solo female travel, which has been regarded as a means of demonstrating women’s empowerment, is observed in many parts of the world, including Asia. Nevertheless, this form of independent travel may expose women to risk when travelling alone in the gendered and sexualised tourism space. Although risk appears to be a prominent feature of women’s solo travel experience, little research in this area has considered risk as an independent subject of investigation. In fact, there are only a handful of studies on solo female travel despite its rising popularity and no one has studied the experiences of Asian women. In response to these gaps, this thesis explores the risk perceptions and negotiation strategies of Asian women who have travelled alone and the implications of risk in these women’s lives and in relation to the social world.
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How this classification was reachedexpand
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".