Vocabulary Levels and Size of Malaysian Undergraduates
Bibliographic record
Abstract
Vocabulary is a fundamental requirement of language acquisition, and its competence enables independent reading and effective language acquisition. Effective language use requires adequate level of vocabulary knowledge; therefore, efforts must be made to identify students’ vocabulary base for greater efficiency and competency in the language. Students with limited vocabulary size may fail to comprehend the contents of the reading materials and their learning may be impaired. This study had aimed to address this concern and sets out to examine the vocabulary knowledge, i.e. in terms of vocabulary level and size of undergraduates at a private university in Malaysia, where English is the medium of instruction. 120 first year undergraduates from three academic programs, who participated in this study, sat for the Nation and Laufer’s (1999), Version A of Productive Vocabulary Levels Test, which is recommended and used for diagnostic purposes. The findings show that almost none of the students have acquired the vocabulary required at UWL, and most of them managed to acquire only a 2000 word level at Level A. At UWL, a larger proportion fell on the lower scale, implicating that their vocabulary knowledge is insufficient to cope with the reading text and possibly with the studies at the university.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".