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Identity Texts and Literacy Development among Preschool English Language Learners: Enhancing Learning Opportunities for Children at Risk for Learning Disabilities

2006· article· en· W2079242859 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

VenueTeachers College Record The Voice of Scholarship in Education · 2006
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsUniversity of TorontoToronto Metropolitan University
Fundersnot available
KeywordsEllPsychologyLiteracyIntervention (counseling)At-risk studentsLearning disabilityIdentity (music)Mathematics educationEnglish languageLanguage developmentDevelopmental psychologyMedical educationPedagogyTeaching methodVocabulary developmentMedicine

Abstract

fetched live from OpenAlex

There is little research on English language learners (ELLs) in relation to learning disability (LD) assessment and identification. More important, there is a scarcity of research on models and strategies that enhance learning opportunities and outcomes for ELLs prior to an LD diagnosis. We describe in this article an innovative language intervention program involving the creation of bilingual, student self-authored identity texts. Called the Early Authors Program (EAP), the intervention stands as an example of how spaces and opportunities for literacy development among young ELLs can be created in a classroom instructional environment. The EAP, which reached 800 families, was evaluated using a combination of methods and instruments. The goal of the evaluation component was to collect data spanning one year from 325 randomly selected participating children in both control and experimental groups. Among its several beneficial outcomes, the EAP had demonstrably positive effects on children's language scores and appears to have strengthened their identities and fostered their self-esteem. Because a proportion of these students would be at risk for LD, we propose the implementation of programs of this type generally for ELL children, and especially for those considered likely to have future school-related difficulties.

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)0.003
metaresearch head score (Gemma)0.002
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 score0.068
Threshold uncertainty score0.928

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.020
GPT teacher head0.307
Teacher spread0.288 · 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