Exploring the facilitators and barriers to shopping mall use by persons with disabilities and strategies for improvements
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Persons with disabilities face challenges which impact on their ability to accomplish daily activities such as moving around, communicating and fulfilling social roles. Social participation assumes individuals with disabilities live within their community and interact with others. Shopping malls are public spaces used by individuals for various reasons. Here, all components of the social and physical environment interact and have an impact on social participation. This exploratory and qualitative study provides a multi-perspective assessment of the usability, as well as of the environmental facilitators and obstacles to social participation in shopping malls. The results also suggest necessary improvements. We interviewed 15 persons with disabilities, 15 rehabilitation professionals and 9 shopkeepers. Participants viewed the mall as a multifunctional place for everyday use, but at times, also as a limiting place. Multiple facilitators and obstacles were identified; the most important were interaction with shopkeepers and the mall’s design for mobility or wayfinding. All participants agreed shopkeeper training and an improved awareness of the needs of persons with disabilities would be beneficial. Multiple stakeholders’ perceptions provide a basis for further investigation about needed changes and their potential for making malls more welcoming and inclusive to all.
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.
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 | 0.000 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it