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Record W2158528713 · doi:10.1093/deafed/eng034

The Language Proficiency Profile-2: Assessment of the Global Communication Skills of Deaf Children Across Languages and Modalities of Expression

2003· article· en· W2158528713 on OpenAlexaffabout
James M. Bebko

Bibliographic record

VenueThe Journal of Deaf Studies and Deaf Education · 2003
Typearticle
Languageen
FieldPsychology
TopicHearing Impairment and Communication
Canadian institutionsYork UniversityNatural Sciences and Engineering Research Council
FundersUniversity of Washington
KeywordsPsychologySign languageLanguage developmentReading (process)ModalitiesDevelopmental psychologyLanguage assessmentScale (ratio)Hearing lossLinguisticsMathematics education

Abstract

fetched live from OpenAlex

Data are presented from two studies that investigate the developmental trends and concurrent validity of a measure of language and communication skills for deaf children, the Language Proficiency Profile-2 (LPP-2), developed by Bebko and McKinnon (1993). The LPP-2 was designed to evaluate the overall linguistic/communicative skills of deaf children, independent of any specific language or modality of expression. It focuses on the totality of the children's communication skills. Experiment 1 investigated developmental trends of the LPP-2 for both deaf and hearing children, studying a combined sample of deaf and hearing children from the United States and Canada. Experiment 2 investigated the relationship between the LPP-2 and two commonly used measures to assess deaf children on language development (Preschool Language Scale-3) and early reading skills (Test of Early Reading Ability-Deaf/Hard-of-Hearing). Results from the two studies indicate that the LPP-2 has good utility not only as a measure of overall language development but also as a predictor of achievement for English language and early reading skills.

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)0.002
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 score0.047
Threshold uncertainty score0.258

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.015
GPT teacher head0.419
Teacher spread0.404 · 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

Citations29
Published2003
Admission routes2
Has abstractyes

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