Accessibility of graphics in technical documentation for the cognitive and visually impaired
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
With the U.S. government's new requirement for accessibility, companies such as IBM, are revising their method of selling products and solutions to ensure compliance. The delivery mechanism for information must be accessible to all users, including users with vision, hearing, motor, or cognitive disabilities.Users consume information from many different sources. An increasingly popular method of distributing information is using computers and the Internet. The Web houses volumes of documents and graphics available to anyone at any time. Paired with assistive technology such as Home Page Reader, the Internet makes information that would otherwise be restrictive accessible.However, as approachable as the Internet may be with its sheer volume of information, it does have limitations. The old saying about a chain, that it is only as good as its weakest link, aptly describes the Internet. Beside problems with retrievability and searchability, many other issues plague this vehicle of information. No matter how sophisticated HTML, DHTML, XHTML, and XML present information, the graphics within the body text are the weakest link, from the viewpoint of users with visual or cognitive impairments.This presentation is divided into two sections and explores how a method of creating and exporting graphics can improve the experiences of users with visual or cognitive impairments when viewing technical documentation:
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 | 0.001 | 0.001 |
| 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 | 0.001 |
| 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