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Record W2497498161 · doi:10.1075/sibil.38.06dub

Bilingualism and deafness: Correlations between deaf students' ability to use space in Quebec Sign Language and their reading comprehension in French

2008· book-chapter· en· W2497498161 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

VenueStudies in bilingualism · 2008
Typebook-chapter
Languageen
FieldPsychology
TopicHearing Impairment and Communication
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsReading comprehensionNeuroscience of multilingualismLinguisticsCompetence (human resources)ComprehensionPsychologySign (mathematics)Sign languageSociolinguistics of sign languagesReading (process)Space (punctuation)Cognitive psychologyManually coded languageMathematicsSocial psychology

Abstract

fetched live from OpenAlex

In this chapter we try to determine whether there is a relationship between the mastery of LSQ ( langue des signes québéoise ‘Quebec Sign Language’) and written French, acquired respectively as L1 and L2 by Deaf children educated bilingually. More precisely, we evaluate reading comprehension in French and mastery of space in LSQ. Indeed, the use of space in that language is hypothesized to be an appropriate indicator of global competence because it is not only involved in all forms of co-indexation but also is the means by which the language establishes relations between lexical elements. Reading comprehension is evaluated through the ability to locate and infer information in a text. Statistical analysis (Spearman correlations) show that mastery of LSQ is related to reading comprehension.

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)0.001
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 score0.495
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.101
GPT teacher head0.393
Teacher spread0.292 · 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