MétaCan
Menu
Back to cohort
Record W1534177261 · doi:10.3917/nras.049.0139

Un environnement Web bilingue pour l'alphabétisation des personnes sourdes 

2010· article· fr· W1534177261 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueLa nouvelle revue - Éducation et société inclusives · 2010
Typearticle
Languagefr
FieldSocial Sciences
TopicDigital Accessibility for Disabilities
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsForestryGeography

Abstract

fetched live from OpenAlex

La majorité des personnes sourdes accusent un retard important en lecture et en écriture (Daigle, 1998 ; Marschark et Spencer, 2003). En général, au terme de leur scolarisation, elles ont des performances à l’écrit comparables à celles d’enfants entendants de 9-10 ans (Holt, 1994 ; LaSasso, 1999). Ce constat n’est ni spécifique à une langue, ni caractéristique de la situation d’un pays en particulier. C’est par souci d’offrir aux adultes sourds de meilleures chances de réussite et grâce aux travaux des vingt dernières années portant sur la description de la Langue des signes québécoise (LSQ) et l’apprentissage du français écrit que des chercheurs québécois ont conçu et mis à l’essai un environnement Web bilingue (LSQ-français) destiné principalement aux adultes sourds, mais qui s’est avéré aussi intéressant pour les élèves sourds et les intervenants du milieu de la surdité. Le but de cet article est de décrire le cadre ayant servi à la mise en place de cet environnement Web et la démarche d’évaluation de la pertinence de cet outil rendu disponible pour la formation autant en présentiel qu’à distance (Parisot et al., 2009).

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.208
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.004
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.031
GPT teacher head0.342
Teacher spread0.312 · 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