The Relationship between the Saudi Cadets’ Learning Motivation and Their Vocabulary Knowledge
Bibliographic record
Abstract
This paper is a report on the study of the relationship between foreign/second language (L2) motivation and vocabulary knowledge. The population of the study is the cadets of a military academy in Saudi Arabia who study English as a foreign language. The total number of participants is 195 Saudis. The author uses the L2 Motivational Self System to investigate the cadets’ L2 motivation and the vocabulary test “X-Lex” (Meara & Milton, 2003) to measure their vocabulary size (VS). The correlation analysis shows a positive moderate statistical correlation between the students’ L2 motivation and their VS because the Ideal L2 Self, the Language Learning Attitudes, and the Intended Learning Effort had a linear relationship with the VS. Nevertheless, the regression analysis reveals that none of these motivational scales is a predictor of the students’ VS. Finally, the correlation analysis and the regression analysis disclose a statistically significant correlation between the Saudi cadets’ self-perception as competent English users and their L2 motivation as well as their VS.
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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 | 0.003 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".