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 chapter addresses the specific relationship between seasonality in tourism and employment in the sector. Consumer demand for tourism products and services fluctuates hugely in temporal terms across the day, week and season and in response to planned and unexpected events such as economic downturn, natural disasters and, as we witnessed so dramatically in 2020, as a consequence of a global health crisis. This variability is known as stochastic demand and has a very significant impact on the lives of those who work in tourism, on who they are, where they come from and what opportunities tourism is able to offer them. In this chapter, we will discuss how the consequences of one particular dimension of stochastic demand, seasonality, impacts on work and the workforce in tourism. We will illustrate what tourism employment in relatively seasonal destinations looks like and how such employment fits into the local community and its economy by drawing on two case examples from the summer destination of Tofino on the west coast of Vancouver Island in British Columbia, Canada and the winter visitor area of Sälen in mid Sweden.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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