Social Participation and Perceived Quality of Environment of Adults with Disabilities
Bibliographic record
Abstract
Background: Social participation is a fundamental right; however, restrictions often arise due to environmental barriers, both physical and social. The ‘Handicap Innovation Territoire’ (HIT) project aims to enhance social participation for individuals with disabilities living in Brittany, France. To gain insight into the desired areas of intervention and evaluate the HIT project, an initial experiment was conducted to assess the level of social participation and perceived environmental quality among people with disabilities. Methods: A cross-sectional investigation was performed, utilizing the Assessment of Life Habits (LIFE-H) and Measure of the Quality of the Environment (MQE). Results: Twenty-five individuals with disabilities, with an average age of 46.0 ± 23.6 years, were recruited. The results indicated an overall high level of social participation, while work, education, and leisure showed participation restrictions. The MQE scores revealed variations in the environmental perception across disability groups concerning work environment (p = 0.035), stores and services (p = 0.014), health care services (p = 0.006), education (p = 0.043), access to radio and television (p = 0.002), road accessibility (p = 0.003), and time allowed for tasks (p = 0.001). Conclusion: The study identified factors that influence social participation among individuals with disabilities living in Brittany, and highlighted the actions implemented within the HIT project to address the challenges related to social participation.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".