The Relationship between Iranian EFL Learners' Creativity and Their Lexical Reception and Production Knowledge
Bibliographic record
Abstract
This study aimed to determine the relationship between creativity on one hand and lexical reception and production knowledge of Iranian EFL students on the other hand. The data were collected using three tests: a creativity test (Torrance, 1990), the Vocabulary Levels Test (Schmitt, Schmitt, & Clapham, 2001), and the Productive Version of the Vocabulary Levels Test (Laufer & Nation, 1995) which were administered to a group of 141 Iranian undergraduate students majoring in English Translation and Literature at Arak and Qom universities. The results demonstrated that there was not a high correlation between creativity on one hand and lexical reception and production on the other hand. The learners' passive and active vocabulary knowledge in the tests as a whole and at different word-frequency level were highly correlated. Passive vocabulary was always larger than active vocabulary at all levels; however, the gap between the two increased at lower word-frequency levels.
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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 | 0.001 | 0.005 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".