Services, systems, and policies affecting community mobility for people with mobility impairments in Northern Iceland: An occupational perspective
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
Background: Services, systems, and policies can affect what people do, including community mobility (CM), or the act of moving around within the community. People with mobility impairments meet various challenges to CM as the environment does not always accommodate their needs.Aim: To explore, through an occupational lens, how services, systems, and policies can restrict or support CM for people with mobility impairments.Methods: As the first phase of an exploratory case study, focus group interviews were conducted with two different groups: users of mobility devices, living in the town of Akureyri, Iceland, and people who have experience of providing or planning services for disabled people in the same area.Results: Five themes, “Being mobile: A key to meaningful occupations”, “Users as agents in their own lives”, “Means of transportation”, “Accessibility awareness”, and “Integration of services and systems”, identify important aspects that need to be addressed to better support CM.Conclusion: The findings suggest the need to further explore transportation service, personal assistance, and infrastructure services affecting accessibility; alongside the importance of incorporating occupational justice and rights values into policy implementation.
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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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