Must We Trade Rights for Security? The Choice Between Smart, Harsh or Proportionate Security Strategies in Canada and Britain
Bibliographic record
Abstract
This paper critically examines the claim that rights can and must be exchanged for security, Drawing on Canadian and British examples, the author argues that smart security strategies can help prevent terrorism and minimize its harms without infringing rights. Examples include administrative regulation of sites and substances vulnerable to terrorism, emergency preparedness and effective review of national security activities. Next the author outlines harsh security strategies such as overbroad definitions of terrorism, the prohibition of speech associated with terrorism and profiling practices that infringe rights without advancing security. Finally the author suggests that cases of genuine conflict between rights and security, such as issues affecting national security confidentiality, alien terrorists who cannot be reported and preventive restraints on liberty, should be resolved by applications of principles of proportionality. The paper concludes with a detailed case study of the 1985 terrorist bombings of Air India that killed 331 people and suggests that they could have been prevented more readily by smart security strategies such as increased aviation security.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".