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Record W6986763848

Reconceptualizing Self-Advocacy and Accessibility Labour in Post-Secondary Education for Blind and Partially Sighted Learners: A Participatory Framework

2024· other· en· W6986763848 on OpenAlexaff

Bibliographic record

VenueOCAD University Open Research Repository (OCAD University) · 2024
Typeother
Languageen
Field
Topic
Canadian institutionsOntario College of Art and Design
Fundersnot available
KeywordsProcess (computing)Citizen journalismPartially sightedWork (physics)Capability approachWorkflowOutcome (game theory)
DOInot available

Abstract

fetched live from OpenAlex

The prevailing institutional expectation that blind and partially sighted students in post-secondary education will need to repeatedly self-advocate to obtain equitable and timely access to course learning materials is fatiguing, stressful, and othering. The time and resources that students devote to self-advocacy represents unrecognized labour that is not typically expected of non-disabled peers. This unrecompensed accessibility labour and its consequences are central to the rationale for the participatory framework proposed in this paper, recognizing that equitable access depends, in part, on mitigating the requirement that students engage in accessibility labour to realize their right to an inclusive post-secondary education. Dyads of blind and partially sighted accessibility professionals and course instructors will work through an iterative process to upgrade instructors’ workflows for creating and curating accessible learning materials. An anticipated outcome of this facilitation process is that learning materials assigned by participating instructors will meet an increasing proportion of students’ access requirements, and as a result, progressively mitigate the accessibility labour required to gain equitable access to course content.

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.

How this classification was reachedexpand

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.947
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.003
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0020.002
Research integrity0.0010.003
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 head0.094
GPT teacher head0.379
Teacher spread0.286 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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