An Additive Simple View of Reading Describesthe Performance of Good and Poor Readersin Higher Education
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.
Bibliographic record
Abstract
According to Gough and Tunmer (1986), in a ‘Simple View of Reading’ (SVR), Reading comprehension (RC) = Decoding (D) x Linguistic Comprehension (C).To further evaluate this model, this paper describes an exploratory study of the performance of 60 university students, the majority of whom received academic accommodations at university to compensate for significant reading delays. Results showed that both D and C predicted reading comprehension well. An additive model (D + C) fitted the data no better than a product model (D x C). Similar results were obtained when cumulative grade point average rather than reading comprehension was used as the dependent variable. D but not RC was correlated with phonological awareness and (less reliably) with rapid naming ability. Implications of these findings for the Simple View of Reading and for the support of university students with reading problems are considered.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it