The Effect of Vocabulary Knowledge on Chinese English Learners’ Reading Comprehension
Why this work is in the frame
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Bibliographic record
Abstract
Vocabulary knowledge is the foundation of English learning. This study, based on vocabulary knowledge frameworks, aims to further explore the effect of two dimensions of vocabulary knowledge i.e. breadth and depth of vocabulary knowledge, on two types of reading comprehension tasks, i.e., standard multiple choice question and summary writing in Chinese EFL context. 124 English majors in a Chinese university were randomly selected, and their vocabulary knowledge and reading comprehension ability were tested. The results of the study showed that both breadth and depth of vocabulary knowledge make contributions to reading comprehension; the breadth of vocabulary knowledge has a greater predictive power on multiple-choice reading comprehension than the depth of vocabulary, while vocabulary depth was the stronger predictor of post-reading summary writing. The results indicate that teachers need to attend to vocabulary knowledge and improve learners’ reading ability by enhancing their vocabulary knowledge.
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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 | 0.116 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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