(Re)constructing the Canadian border: Anti-mobilities and tourism
Bibliographic record
Abstract
Drawing from an analysis of Canadian travel security and border policies, which is grounded in a critical mobilities approach, the article sheds light on the normalization and moralization of travel and tourism policies in the post-9/11 era as well as the implications thereof. In particular, the article aims to problematize the ways (tourism) mobility is constructed in contemporary Canadian policies and programmes (as deeply influenced by American policies); consider the implications of these constructions, most notably in terms of what we refer to as ‘anti-mobilities in tourism’; illuminate the implications of this particular moralization of Canadian border, travel, and security practices for travellers; and locate opportunities for tourism scholars to utilize a critical mobilities framework to continue to interrogate the normalization and moralization of particular travel policies more broadly.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.028 | 0.062 |
| Scholarly communication | 0.017 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".