The Cost of Experiencing Everyday Legal Problems Related to Physical and Mental Health
Bibliographic record
Abstract
In 2016, spending on health care in Canada amounted to approximately $228.1 billion (or an average of $6,299 per person). In several provinces and territories health care spending per capita surpassed $7,000. These amounts represent a significant economic commitment to spending on health care. And while many of the costs associated with maintaining and providing health care are unavoidable, there are also many external factors that adversely affect physical and mental health that, if addressed, can offer avenues for reduced spending and contribute to quality of life. This summary report explores the relationship between health issues, civil and family justice problems in Canada and public spending on health care. Using findings from the Canadian Forum on Civil Justice’s (CFCJ) national Everyday Legal Problems and the Cost of Justice in Canada study this report will look at different civil justice problem types, identify trigger problems and explore an often overlooked factor that impacts physical and mental health and public spending on health care in Canada: civil and family justice problems.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".