Rights and Quarantine During the SARS Global Health Crisis: Differentiated Legal Consciousness in Hong Kong, Shanghai, and Toronto
Bibliographic record
Abstract
Interventions in public health crises inevitably give rise to concerns about how the balance between rights concerns and community health security might be handled. During the SARS global health crisis, different jurisdictions struggled simultaneously with similar public health challenges posed by the previously unknown and deadly disease. Yet instead of a convergence of strategies, different jurisdictions responded with measures, especially with regard to the use of quarantine, that revealed a pattern of divergence about how to strike the balance between rights concerns and health security. The origins of this article stem from the realization that Toronto's use of quarantine was far more extensive than that of either Hong Kong or Shanghai, two jurisdictions with historically weak records regarding respect for fundamental rights and civil liberties. Perspectives on the balancing of individual rights and community health security are treated here as expressions of legal consciousness. Instead of assuming a uniform legal consciousness in Toronto, Shanghai, or Hong Kong, this article presents legal consciousness as varied among groups of individuals differently situated in the crisis. The promise of this differentiated approach to legal consciousness is that it facilitates both drawing contrasts between perspectives of differently situated groups within the same city and noting commonalities between similarly situated groups in other cities. Through an examination of three distinct perspectives on rights and quarantine in each city—those of senior public health officials, frontline hospital workers, and contacts of SARS patients—the competing legal meanings and understandings about the tensions between community health security and individual rights during the SARS crisis are identified in a way that enables us to better understand the pattern of different uses of quarantine.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.018 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 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 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".