Taxing Personal Injury Damages: Tax Policy Analysis from the Canadian Perspective
Bibliographic record
Abstract
The Canada Revenue Agency (CRA) maintains that all personal injury damages are exempt from income tax, but has provided little explanation for its position. The CRA’s practice of not including such receipts in income makes it unlikely that Canadian courts will have the opportunity to fully consider the proper legal treatment of personal injury damages. This article examines the tax policy implications of taxing each of the following types of personal injury damages: loss of working capacity, non-pecuniary damages, and cost-of-care awards. It is argued that damages for loss of working capacity and non-pecuniary damages should be fully taxed, since they are best viewed as replacing capital assets with low basis. It is also shown that horizontal and vertical equity may be better achieved if damages for cost of care are fully taxed, given the existing medical expense tax credit. Income-bunching concerns are not considered significant enough to justify capital gains treatment, although a one-half exemption would be more politically viable than forward averaging. In conclusion, if the current tax exemption for personal injury damages is maintained, it must be justified as a tax expenditure rather than on other tax policy grounds.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".