MétaCan
Menu
Back to cohort
Record W3009235495 · doi:10.1145/3386402.3386407

Factors related to braille reading acquisition among aging braille learners

2020· article· en· W3009235495 on OpenAlex
Natalina Martiniello

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

VenueACM SIGACCESS Accessibility and Computing · 2020
Typearticle
Languageen
FieldNeuroscience
TopicTactile and Sensory Interactions
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsBrailleReading (process)Psychological interventionPopulationPsychologyLife expectancyComputer scienceReferralMultimediaMedicineFamily medicineLinguistics

Abstract

fetched live from OpenAlex

The prevalence of older adults with acquired vision loss is expected to double by 2050 as life expectancy continues to increase, and reading difficulties remain the most common reason for referral to vision rehabilitation services. Refreshable braille technologies provide expanded access to information in braille, and may be beneficial to older adults who experience age-related declines in tactile acuity. Despite this, very little is known about the impact of aging on braille reading, how reading performance differs between hardcopy and electronic refreshable braille, or whether such technologies would improve training outcomes for older adults who pursue braille training. The goal of this research is to answer fundamental questions about aging on braille reading performance through both traditional and technological methods and to explore whether use of refreshable braille technologies within training interventions would help to better meet the unique needs of a quickly aging population.

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)0.000
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.284
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.070
GPT teacher head0.331
Teacher spread0.261 · 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