Public Perceptions of Provincial Human Rights Systems in Alberta, Saskatchewan and Manitoba
Bibliographic record
Abstract
In 2011, Saskatchewan eliminated its Human Rights Tribunal and reassigned responsibility for adjudication of human rights complaints to the Court of King’s Bench. Since then, it has been the only jurisdiction in Canada without a specialized human rights tribunal. This study examines stakeholder perceptions of Saskatchewan’s unique human rights system in comparison with Alberta’s and Manitoba’s systems, which retain human rights tribunals. Using a survey instrument based on the methodology in Howe and Johnson’s 1999 Restraining Equality: Human Rights Commissions in Canada, key stakeholders across the Prairie provinces evaluated their provincial systems across eight criteria: accessibility, promptness, investigation, conciliation/mediation, objectivity, fair procedures, fair decisions, and compensation. Results reveal that Saskatchewan stakeholders reported higher satisfaction (69%) compared to Alberta (56%) and Manitoba (61%), with Saskatchewan scoring consistently higher across all eight evaluation areas. All three provinces struggled most with “promptness,” reflecting common criticisms about the speed of human rights systems in Canada. Despite Saskatchewan's higher performance scores, 59% of Saskatchewan respondents still expressed a preference for the tribunal model rather than the current court system. These findings suggest that Saskatchewan's departure from the tribunal model has not negatively impacted stakeholder perceptions of access to justice or system effectiveness. A brief analysis suggests funding levels may be partially responsible for Saskatchewan’s higher survey satisfaction scores.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.010 | 0.006 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".