Bibliographic record
Abstract
Causation is acknowledged as the single biggest hurdle to recovery for plaintiffs in toxic tort actions in Canada (and elsewhere). Scientific uncertainty involving questions of both generic and specific causation has frequently precluded recovery for plaintiffs even where defendants have negligently exposed them to toxic risk. Three types of uncertainty have been identified: plaintiff indeterminacy (where we know that the defendant has harmed some proportion of a particular population but no individual can prove causation); defendant indeterminacy (where we know that a group of defendants has harmed a particular plaintiff or plaintiffs but each can escape liability by pointing the finger at the other); and indeterminacy of harm (where plaintiffs have been exposed to a risk that may or may not materialize in the future). In Canada, there is no recovery for risk exposure, unless it produces a measurable psychiatric harm. The problem of plaintiff indeterminacy remains, with a resulting under-deterrence of toxic harms and under-compensation of injured plaintiffs. The Supreme Court of Canada has, however, solved the problem of defendant indeterminacy for Canadian plaintiffs. Taking inspiration from both United Kingdom and American theories of collective liability, the Court, in Clements v. Clements, adopted a uniquely Canadian test for material contribution to risk as a proxy for proof of causation. This article argues that the Clements test is a promising start for causation reform in Canada but does not go far enough towards incentivizing information disclosure and precaution in the manufacture and dissemination of chemical products and pollution.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".