Gender-Oriented Perusal of EFL Learners' Performance on Contextualized and De-Contextualized Tests
Bibliographic record
Abstract
The current paper served as an attempt to shed light on two points. First, is there any difference in the performance of language testees on contextualized and de-contextualized vocabulary tests? Second, the study tried to examine gender differences in performing contextualized and de-contextualized vocabulary tests. To achieve the intended purposes, two versions of a vocabulary test, a contextualized and a decontextualized one, were distributed among 72 Persian EFL language learners. Having run descriptive statistics and also independent t-test, the results revealed that first; language testees outperformed the contextualized vocabulary test than de-contextualized version. Second, though not significantly, females' performance was better than males' ones. Consideration of studies like the present one can be helpful in selecting the most effective strategies for assessing vocabulary aspect of language and as a result, causing a higher degree of performance in this area of language.
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How this classification was reachedexpand
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 | 0.000 |
| 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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".