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Record W2124606798 · doi:10.18806/tesl.v25i1.105

Process and Product: Creating Stories With Deaf Students

2007· article· en· W2124606798 on OpenAlexfundvenueno aff
Charlotte Enns, Ricki Hall, Becky Isaac, Patricia MacDonald

Bibliographic record

VenueTESL Canada Journal · 2007
Typearticle
Languageen
FieldPsychology
TopicHearing Impairment and Communication
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of Manitoba
KeywordsAmerican Sign LanguageCurriculumSign languageMeaning (existential)PedagogyLanguage artsSign (mathematics)PsychologyProcess (computing)Mathematics educationThe artsLinguisticsComputer scienceVisual artsArt

Abstract

fetched live from OpenAlex

This article describes the implementation of one element of an adapted language arts curriculum for Deaf students in a bilingual (American Sign Language and English) educational setting. It examines the implementation of writing workshops in three elementary classrooms in a school for Deaf students. The typical steps of preparing/planning, drafting, revising, editing, and publishing were carried out by all students in both languages to create stories and produce final products in both videotaped American Sign Language and written English. The effective practice of writing workshop was adapted to meet the learning needs of Deaf students by including visual processing, meaning-based teaching strategies, and bilingual methods. By having opportunities to create and revise stories in their first language (ASL), students experienced an increased sense of ownership of their work and developed some of the metalinguistic skills that are essential to becoming effective writers.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score0.963

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)0.0010.000

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 head0.018
GPT teacher head0.341
Teacher spread0.323 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations25
Published2007
Admission routes2
Has abstractyes

Explore more

Same venueTESL Canada JournalSame topicHearing Impairment and CommunicationFrench-language works237,207