Bibliographic record
Abstract
Young budget travellers who work as they travel the world have often escaped \nacademic attention. This thesis will begin to correct this omission by illustrating how \nthe working and travelling practices of these young budget travellers affects their \nperception and construction of self. Taking an empirically grounded approach, this \nresearch will build these views into wider theoretical debates around identity, work, \nplace and transnationalism. \nThe thesis is based on an intensive period of fieldwork undertaken in Whistler, British \nColumbia, Canada. Drawing on data from in-depth interviews, participant observation \nand secondary sources, this thesis will suggest that it is through work and travel \nexperiences that these young people construct a sense of self. It will be argued that \nworking adds value and meaning to experiences, creating memories and stories in \nwhich to construct identity. Furthermore, company culture and ideas of adventure \ncontinuously complicate how these young people utilise their working and travelling \nexperiences and so, how they (re)define their sense of self. Finally, the relationship \nbetween identity and place will be considered in connection to the emerging literature \non backpacker enclaves. \nThis research on these working tourists aims to provide insights into current debates \non backpacker travel, identity and tourism, both within the academic community and \nacross wider business and social arenas. The ways in which young working tourists \nuse their experiences to increase cultural capital and gain informal qualifications in \norder to increase career and life chances will be explored. Thus this thesis will \ndemonstrate the need to understand the motivations, travel patterns and travel \ncareers of working tourists in order to better forecast future tourism demands and \ntrends.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.007 | 0.007 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".