Invited to dinner, but not to the table: web content accessibility evaluation for persons with disabilities
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
Disability is very common and yet not well understood within sub-Saharan African countries. There has been growing attention to the use of research evidence to improve social inclusion of persons living with disabilities. This article reports on a process that can be used to monitor and evaluate evidence databases to encourage improvements in website and content accessibility for people with disabilities. We examined five evidence communities’ online databases by: (1) assessing the accessibility of these website databases; and (2) assessing the resources within these websites. Finally, we aimed to provide feedback from the evaluation to these evidence databases. We carried out a cross-sectional study of the online evidence databases using the Web Content Accessibility Guidelines – a universal standard for web content accessibility assessment. We assessed access to the databases using a purposive sample of 25 resources within them. Resources are meant to improve practice, policy and decision making for all, including people with disabilities. They include systematic reviews, reports and articles. Accessibility is being able to obtain, understand and use resources; addressing barriers that could hinder this is important. Even though these evidence databases are considered as enabling inclusion and diversity within the evidence ecosystem, their contents are not fully accessible to people with disabilities, and they only partially met the recommendations of the Web Content Accessibility Guidelines.
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 | 0.018 | 0.037 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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