Iranian EFL Learners’ L2 Motivational Self System: A Study of Selves and Attitudes Towards L2 Culture and Community
Bibliographic record
Abstract
Adopting the framework of Dornyie’s second language (L2) motivational self system, the main purpose of the present study was to investigate the relationship between two aspects of L2 selves (i.e., ideal L2 self and ought-to L2 self) and attitudes towards L2 culture and community. To this end, a large scale attitudinal questionnaire by Taguchi et al. (2009) were employed among 120 Iranian EFL learners and correlation and regression analyses were implemented on the data. The results of correlation confirmed that both ideal and ought-to L2 selves associated to attitudes towards L2 culture and community; however, the degree of association of ideal L2 self seemed to be much stronger than that of ought-to L2 self. Also, regression analyses showed that in Iran, L2 learners had stronger link with L2 culture and their selves, especially their idealized self-image, was affected and shaped by values of L2 culture. However, their obliged self-image was affected by values of their own society.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 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".