PRECARITY, AGENCY, AND UNSUSTAINABILITY: THE MOBILITY OF YOUNG ADULT TOURISM WORKERS IN BANFF NATIONAL PARK, CANADA
Bibliographic record
Abstract
This article focuses on young adults who travel to work and live in the Rocky Mountain resort destination of Banff National Park in western Canada. This is usually an early work experience in the lives of these young workers, often their first. I discuss the patterns and the impact of the work mobility of young adult tourism workers using three different frames of understanding: (a) the precarious employment associated with the tourism industry itself; (b) the specific place and community of Banff and how it shapes particular conditions of precarity and agency within the tourism industry and for young tourism workers’ experiences; and (c) the young adult tourism workers themselves — their motives for work and travel, their experiences of work, and their agency in navigating the tourism industry in Banff. Using these three frames, I examine the impact of precarity and agency on the transfer of work knowledge, on the sustainability of the tourism industry work and the community, and on the young adult tourism workers’ future work experiences. It is critical to examine work precarity, worker agency, and job and community sustainability in order to understand more fully the experiences of mobility of young adult tourism workers, and their early work experiences. This is all the more important as, in a climate of economic change and restructuring, young adult workers are becoming central to the consideration of employment policy issues.
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.
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 | 0.002 |
| Science and technology studies | 0.013 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 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 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".