The COVID-19 Pandemic and Insurance Coverage for Business Interruption in Canada
Bibliographic record
Abstract
This article explores the impact of the COVID-19 pandemic on the insurance industry and analyzes whether most Canadian businesses are insured for business interruptions and losses caused by the pandemic. The author suggests that pandemic-related losses are insurable. Insurers have had sufficient time and experience to prepare and model their policies to account for events such as the COVID-19 pandemic. Insurance policies typically protect against risks which are triggered only where a business suffers “direct physical loss of, or damage to” property. Ultimately, whether Canadian businesses are insured against COVID-19 business interruptions will depend on how the courts interpret “direct physical loss of, or damage to, property” in the context of pandemic-related losses. The author cautions against engaging in a literalist or dictionary-focused interpretation of insurance policies. Instead, the author argues that equitable and predictable insurance coverage determinations requires a contextual assessment grounded in the role of insurance as a risk-based financial instrument.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".