Examining Reading Comprehension Profiles of Grade 5 Monolinguals and English Language Learners Through the Lexical Quality Hypothesis Lens
Why this work is in the frame
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Bibliographic record
Abstract
This study set out to compare patterns of relationships among phonological skills, orthographic skills, semantic knowledge, listening comprehension, and reading comprehension in English as a first language (EL1) and English language learners (ELL) students and to test the applicability of the lexical quality hypothesis framework. Participants included 94 EL1 and 178 ELL Grade 5 students from diverse home-language backgrounds. Latent profile analyses conducted separately for ELLs and EL1s provided support for the lexical quality hypothesis in both groups, with the emergence of two profiles: A poor comprehenders profile was associated with poor word-reading-related skills (phonological awareness and orthographic processing) and with poor language-related skills (semantic knowledge and, to a lesser extent, listening comprehension). The good comprehenders profile was associated with average or above-average performance across the component skills, demonstrating that good reading comprehension is the result of strong phonological and orthographic processing skills as well as strong semantic and listening comprehension skills. The good and poor comprehenders profiles were highly similar for ELL and EL1 groups. Conversely, poor comprehenders struggled with these same component skills. Implications for assessment and future research are discussed.
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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 | 0.002 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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