The Simple View of Reading as a framework for national literacy initiatives: a hierarchical model of pupil‐level and classroom‐level factors
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".