Passenger Car Flows Across Canada-United States Border: Effect of 9/11 Terrorist Attacks
Bibliographic record
Abstract
This paper examines trends in passenger vehicle flows across the Canada-US border over the period from 1972 to 2011. Graphical presentation illustrates a strong declining trend in same day trips over the period from 2001 to 2011, which may be associated with the enhanced security regime at the border in the aftermath of the terrorist attacks of September 11, 2001. However other factors, including a strengthening Canadian dollar and slow economic growth after 2008 may also contribute to this trend. Regression analysis is used to identify factors affecting cross-border flows in both directions for both single day and multi-day trips. A parallel analysis is done for the flows to and from the Province of Ontario only. Results indicate that even after controlling for exchange rates and economic performance, a significant negative impact of 9/11 can be detected. A counterfactual exercise suggests that a quite dramatic reduction in vehicle crossings in both directions may be attributed to 9/11.
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How this classification was reachedexpand
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 | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".