Monitoring Disability Policies and Legislation towards Effective Exercise of Rights to Equality and Inclusive Access for Persons with Disabilities: The Case of the Quebec Model
Bibliographic record
Abstract
Quebec’s government established a mechanism to monitor its progress towards achieving the right to equality for people with disabilities. With the goal of strengthening the accountability of public actors, this mechanism is based on legal provisions and inclusive political guidelines. In 2009, the provincial government adopted a policy entitled “Equals in Every Respect: Because Rights Are Meant to Be Exercised” along with other legal dispositions aimed at significantly increasing the social participation of people with disabilities. The Disability Creation Process, a conceptual reference model also known as the Quebec Model, proposes that public actors should be able to identify and act upon environmental obstacles within their respective competences to transform them into facilitators. The challenge facing inclusive policy-monitoring mechanisms is to acquire quantitative and qualitative information-collecting tools and strategies that link the quality of access of the components of the physical and social environment to the quality of the social participation for the various segments of the population with or without disabilities.
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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 | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.014 | 0.009 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| 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".