Pity the Taxpayer: The Tax Exemption for Personal Injury Damages as a Disability Policy
Bibliographic record
Abstract
The tax treatment of personal injury damages has been largely ignored in Canada, despite questionable authority for the generally accepted position that they are not taxable. Courts have reasoned that personal injury damages are not subject to tax because these awards replace lost human capital. However, this explanation became open to question after the introduction of capital gains tax in Canada.The author looks beyond taxation to disability policy in order to validate the tax exemption for personal injury damages. Specifically, the author examines two possible explanations for this tax treatment. According to the humanitarian justification, personal injury damages are not subject to tax because of feelings of pity or sympathy for the injured plaintiff. Commentary to date on the humanitarian justification has not recognized the relevance of disability studies, so a principal focus of this paper is on the contribution of the disability literature to the debate. Considering the disability literature, the author rejects the humanitarian justification by demonstrating that these views reinforce stereotypes and social barriers that actually contribute to disability. The author also examines the tax exemption for personal injury damages as a tax expenditure intended to provide income support for persons with disabilities. Because this program does not account for financial need and is only available to successful tort plaintiffs, the author argues that the program can not achieve an intended goal of advancing full participation in society. In view of the disability literature and government policy statements, neither explanation for the exemption reflects the values of equality, participation and full citizenship that inform disability policy in Canada. Because the tax exemption is not supportable as disability policy, the author advocates for continued debate to identify the appropriate tax treatment of personal injury damages.
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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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.029 |
| Scholarly communication | 0.014 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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".