A Geographical Analysis of the Rates of Non-Travel Across the Regions of Canada
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
Abstract The purpose of this study was to classify and segment non-travellers across the regions of Canada. This was achieved by empirically testing Haukeland's (1990) Haukeland, V. J. 1990. Non-travellers: The flip side of motivation. Annals of Tourism Research, 17: 172–184. [CSA][CROSSREF][Crossref], [Web of Science ®] , [Google Scholar] model of non-travel. The study revealed that while Quebec had the lowest incidence rate of non-travel, those who did not travel were socially constrained at a much higher rate than in the other regions of Canada. Those not born in Canada were most likely to be both financially and socially constrained and concentrated primarily in Ontario. Non-travellers in Western Canada were most likely to report being financially constrained. Overall, this study found that Haukeland's (1990) Haukeland, V. J. 1990. Non-travellers: The flip side of motivation. Annals of Tourism Research, 17: 172–184. [CSA][CROSSREF][Crossref], [Web of Science ®] , [Google Scholar] model assisted in the discovery of regional differences in non-travellers across Canada. If non-travellers are understood more clearly, some of their market potential could be realized by the tourism industry.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.006 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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