Scared enough? How terrorism threats affect US-Canadian business ties
Bibliographic record
Abstract
Purpose – The purpose of this paper is to examine how security-related issues affect business in an integrated economic space. North America is an interesting case, as Canada and the USA have historically been highly integrated economies. Design/methodology/approach – Research that focuses on the relationship between security and business is reviewed. First, the perception of security issues by business leaders is examined. Second, the North American case is discussed. Findings – In the decade following 9-11, not all industries felt the aftermath in the same way, and business leaders from Canada and the USA did not necessarily focus on the same priorities. A thickening border is increasingly challenging for firms even though they have historically coped somewhat efficiently. Research limitations/implications – This paper has implications for integrated economies. Policymakers need to frame their response to security issues in a way that takes into account their effect on trade and firms. Practical implications – Given terrorism’s impact on industries, the differences in priority ascribed to the issue by executives and the varying responses to address the problem, ensuring the ongoing gains from transborder business activity, requires creative solutions. Originality/value – The effect of security on business is seldom studied. This paper provides a vivid example of the interplay between these two critical elements. This renewed understanding allows policymakers and business executives to find a common ground so that security issues are not dealt with at the expense of firms and cross-border trade.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 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".