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Record W2105772771 · doi:10.1353/sls.2014.0002

Rethinking Literacy: Broadening Opportunities for Visual Learners

2014· article· en· W2105772771 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

VenueSign language studies · 2014
Typearticle
Languageen
FieldPsychology
TopicHearing Impairment and Communication
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsLiteracyPsychologyVisual literacyReading (process)MediationPerspective (graphical)Information literacyCritical literacyVariety (cybernetics)PedagogyLinguisticsComputer scienceSociology

Abstract

fetched live from OpenAlex

This article outlines a working model that is grounded in visual learning; it is a model for facilitating deaf children's acquisition of literacy. In our view, literacy is more than merely reading. It also encompasses the acquisition of knowledge and the development of cognitive skills that one needs for thinking, comprehending, and communicating. The perspective espoused by the proponents of "multil iteracies" is utilized to fashion a model that explains how deaf children's literacy development may be supported through ASL and various visual modes of learning. The model incorporates components of ASL acquisition, visual engagement, emergent literacy, social mediation of English print, literacy and Deaf culture, and a variety of media. Our goal is to broaden the current dialogue on the literacy development of deaf children by offering a model that is based on a fairly holistic concept of literacy, insights from a wide array of research findings and theoretical constructs, and recognition of the need to capitalize on deaf students' natural tendency to learn via the visual mode.

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)0.000
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 score0.431
Threshold uncertainty score0.436

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.143
GPT teacher head0.428
Teacher spread0.285 · 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