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Record W4313404687 · doi:10.11114/jets.v11i2.5867

Browser Extensions for Post-Secondary Students with Disabilities

2023· article· en· W4313404687 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Education and Training Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Accessibility for Disabilities
Canadian institutionsMcGill UniversityQuebec Rehabilitation Research NetworkDawson CollegeJewish General Hospital
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsListing (finance)EnthusiasmEntertainmentService providerService (business)Work (physics)Computer scienceThe InternetInternet privacyPsychologyWorld Wide WebBusinessEngineeringMarketingSocial psychologyPolitical science

Abstract

fetched live from OpenAlex

Our objective, in two investigations, was: (1) to provide a listing of safe browser extensions for Google Chrome that are likely to be useful for college students with disabilities, and (2) to provide the results of an empirical study of students with and without disabilities about which browser extensions they use, what they use these for, and why they do not use more browses extensions. Our findings indicate that there are many potentially useful browser extensions that could support students with and without disabilities to do academic work. But it appears that these are not used with any great enthusiasm for school work. Indeed, our findings show that the most popular uses of extensions are for shopping, adblocking, and entertainment. We provide a listing of safe extensions that can assist students with disabilities, speculate about why these are not used more extensively, and make recommendations for accessibility service providers and for the browser industry.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.101
Threshold uncertainty score0.346

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.127
GPT teacher head0.454
Teacher spread0.326 · 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