Problems and barriers in everyday life of people with physical disabilities
Bibliographic record
Abstract
People with disabilities often experience marginalization and are excluded from public life, which causes their alienation and isolation. It is extremely relevant to remove all the economical, architectural, legal and transportation barriers by using the instruments of local politics. These actions would definitely improve the quality of life of people with disabilities. The main aim of the research was to evaluate the level of adaptation of Primary Health Care facilities in Cracow for the people with disabilities. The research material was collected by unstandardized observation technique. The research tool was an original observation sheet. The research included 44 Primary Health Care facilities in Cracow. The research was conducted in February 2014. The level of adaptation of surveyed facilities for people with disabilities is insufficient. More than a quarter (27.5%) of storied clinics did not have technical capabilities which enable relocation to higher storeys. More than half of surveyed facilities (53.5%) have parking lot, which do not meet the established criteria. In many cases, there was lack of parking spaces for disabled people. Only 12% of surveyed clinics have automatic doors allowing easy access to the building. Most of the surveyed facilities do not meet the universal design guidelines. It is necessary to introduce new solutions and to modernize Health Care facilities in order to improve the quality of life of people with 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 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".