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Record W2157508138

The improvement of reading skills of L1 and ESL children using a Response to Intervention (RtI) Model.

2010· article· en· W2157508138 on OpenAlexaff
Orly Lipka, Linda S. Siegel

Bibliographic record

VenuePubMed · 2010
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSpellingPhonological awarenessReading (process)Intervention (counseling)PsychologyLiteracyResponse to interventionLearning to readDevelopmental psychologyLinguisticsPedagogy
DOInot available

Abstract

fetched live from OpenAlex

This study examined the development of literacy skills in children in a district that used a Response to Intervention (RTI) model. The district included children whose first language was English and children who were learning English as a second language (ESL). Tasks measuring phonological awareness, lexical access, and syntactic awareness were administered when the children entered school in kindergarten at age 5. Reading, phonological processing, syntactic awareness, memory, and spelling were administered in grade 7. When the children entered school, significant numbers of them were at risk for literacy difficulties. After systematic instruction and annual monitoring of skills, their reading abilities improved to the extent that only a very small percentage had reading difficulties. The results demonstrated that early identification and intervention and frequent monitoring of basic skills can significantly reduce the incidence of reading problems in both the ESL and language majority children.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.961
Threshold uncertainty score0.231

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 head0.013
GPT teacher head0.286
Teacher spread0.273 · 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

Citations44
Published2010
Admission routes1
Has abstractyes

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