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Record W1974199806 · doi:10.1002/berj.3177

The Simple View of Reading as a framework for national literacy initiatives: a hierarchical model of pupil‐level and classroom‐level factors

2015· article· en· W1974199806 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBritish Educational Research Journal · 2015
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsUniversity of LethbridgeWilfrid Laurier UniversityMcGill University
FundersSocial Sciences and Humanities Research Council of CanadaCanadian Language and Literacy Research Network
KeywordsMultilevel modelReading comprehensionPsychologyLiteracyFraming (construction)Mathematics educationComprehensionPupilGrade levelReading (process)Multilevel modellingVariance (accounting)Computer sciencePedagogyMathematicsStatisticsLinguistics

Abstract

fetched live from OpenAlex

The Simple View of Reading ( SVR ) describes Reading Comprehension as the product of distinct child‐level variance in decoding (D) and linguistic comprehension ( LC ) component abilities. When used as a model for educational policy, distinct classroom‐level influences of each of the components of the SVR model have been assumed, but have not yet been demonstrated in basic research. Hierarchical linear modelling ( HLM ) of the SVR is thus explored here in a longitudinal experiment with 701 children in 50 grade 1 (year 1) classrooms. Multilevel results showed independent distinct classroom‐level effects for both D and LC with up to 68% of the classroom‐level shared variance explained by these two components. Overall, the model fit thus suggests that the SVR is a good model for framing the underlying structure of classroom‐level literacy attainment in grade 1.

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)0.004
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.124
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.308
GPT teacher head0.505
Teacher spread0.197 · 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