The Use of Dictionary and Contextual Guessing Strategies for Vocabulary Learning by Advanced English-Language Learners
Why this work is in the frame
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Bibliographic record
Abstract
The present study provides insight into the use of dictionaries and contextual guessing by advanced English-language learners. This report identifies dictionary use and contextual guessing strategies used by these learners most often and least often. Participants were 100 international graduate students at a large southwestern U.S. university who completed a vocabulary learning strategy questionnaire. The results indicated that these learners consulted a dictionary most often to find out the pronunciation of a new word and least often to learn the frequency of use and appropriate usage of an unknown word. Participants most often based their guesses of a word’s meaning from the paragraph’s main ideas and background information. Using the meaning of individual parts of an unfamiliar compound word (such as note-book) and the part of speech of a new word were the least-used guessing strategies.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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