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Record W3158843720 · doi:10.18438/eblip29888

Users with Disabilities, Especially Invisible Disabilities, Provide Insight into How Libraries Can Frame Accessibility Webpages

2021· article· en· W3158843720 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueEvidence Based Library and Information Practice · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Accessibility for Disabilities
Canadian institutionsMcGill University
Fundersnot available
KeywordsWeb pageWeb accessibilityWorld Wide WebComputer scienceHome pageInformation retrievalPsychologyInternet privacyThe InternetWeb standards

Abstract

fetched live from OpenAlex

A Review of: Brunskill, A. (2020). “Without that detail, I’m not coming”: The perspectives of students with disabilities on accessibility information provided on academic library websites. College & Research Libraries, 81(5), 768–788. https://doi.org/10.5860/crl.81.5.768 Abstract Objective – To understand the needs and preferences of users with disabilities for libraries’ accessibility webpages (webpages dedicated to information on disability and accessibility). Design – Semi-structured interviews. Setting – A large public university in the United States of America. Subjects – 12 students who self-identify as having a disability. Methods – Participants were asked about their expectations (if any) and experiences using library accessibility webpages, how they felt they should be organized, and where and how they would expect to find such webpages. Two lists were printed out and provided to the participants. The first, compiled from a previous study, listed common website headings (categories) under which accessibility webpages had been found, and this aided participants in selecting where they would go to find such a webpage. The second listed common types of information found on accessibility webpages. Participants were asked to use the second list to come up with their five highest priority items for accessibility webpages to cover. Interviews were recorded, transcribed, and analyzed for responses to specific queries, but inductive coding was also used. Main Results – In most of the five response clusters of interest to the author (experience/expectation of such a page existing, navigation and language preferences, overall tone and feel for the website, organization for the page, and content for the page), answers were mixed. No consensus emerged with respect to participants’ expectation of an accessibility webpage existing, how they would find the page (including the best website heading), and what content the page should contain. Participants noted that language should be welcoming and inclusive and vetted for sensitivity. The physical layout of the library and information about ambiance and furniture was frequently noted as being an important and overlooked detail to include. Some services, such as shelf pulling and online chat, were highlighted as appealing to those with “invisible” disabilities. Conclusion – The needs and preferences of users with disabilities are varied and sometimes mutually conflicting. Based on the findings, fourteen recommendations are suggested, including providing detailed information about sensory aspects of the library, listing contact information (preferably to a named individual or group), providing useful headings within the page, and evaluating whether language on the website is welcoming.

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)0.035
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.755
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.035
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0080.449
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.025
GPT teacher head0.282
Teacher spread0.257 · 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