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Record W2130394570 · doi:10.1080/17483100902903325

WAI-ARIA live regions and channels: ReefChat as a case example

2009· article· en· W2130394570 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDisability and Rehabilitation Assistive Technology · 2009
Typearticle
Languageen
FieldComputer Science
TopicWeb Data Mining and Analysis
Canadian institutionsUniversity of Toronto
FundersMozilla Foundation
KeywordsAjaxWorld Wide WebComputer scienceDocumentationMarkup languageWeb 2.0Web pageWeb applicationThe InternetRich Internet applicationWeb developmentXML

Abstract

fetched live from OpenAlex

Web 2.0, enabled by the AJAX architecture, has given rise to new levels of user interaction with web pages. Many of these new and extremely popular Web 2.0 pages are better classified as fully-fledged applications, some examples being Google Maps, Google Docs and Flickr. Unfortunately, accessibility support in most AJAX applications is lacking. The Web Accessibility Initiative-Accessible Rich Internet Applications markup presents a solution to making these applications accessible. This article will look at current ARIA documentation available for Web 2.0 developers, a new innovation involving channels, and present a real life example of an ARIA based solution involving an accessible AJAX chat, ReefChat, and an ARIA compatible screen reader, Fire Vox.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.473
Threshold uncertainty score0.648

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.016
GPT teacher head0.272
Teacher spread0.256 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it