Bibliographic record
Abstract
Founded upon motivation, identity and self theories, this qualitative case study explored the motivational self systemand identities of Japanese EFL learners and their influence on motivation and English language learning. Data wascollected through online surveys among 22 graduate and undergraduate university students. The survey resultsindicated high motivation, international orientation and positive attitudes toward English language learning. Thethematic analysis of students’ detailed responses to the open-ended questions showed a stronger instrumentalmotivation and lack of desire to join and identify with the English communities and culture. International orientationappeared to be a better measure of motivation as opposed to integrative motivation. Moreover, the learners hadinhibitory factors operating against English learning motivation and speaking practices such as anxiety and lowlinguistic self-confidence. Resistance to new cultural identities or identity conflicts resulted from different culturalcontexts show to be an influencing factor in L2 learning. In sum, combining Gardner’s views on motivation,Norton’s conceptions of identity and Dörnyei's L2 Motivational Self System together with qualitative approachesmight render a deeper understanding of motivational barriers of Japanese EFL learners.
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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 | 0.007 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 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 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".