Bibliographic record
Abstract
By analyzing two Korean ESL students in Toronto, this paper develops Dornyei’s (2005, 2009) notion of the ideal L2 self and specifies the conditions of maintaining higher levels of the ideal L2 self from the perspective of Vygotskian sociocultural theory (SCT). In particular, learners’ subjective recognition of the gap between their current L2 proficiency and desired proficiency is conceptualized as sensitization. By connecting sensitization to SCT, the researcher investigates the complexities of learners’ life conditions and their role in maintaining the ideal L2 self by using monthly semi-structured interviews. The data were transcribed and analyzed through the use of the grounded theoretic approach. The results show empirical evidence that mere exposure to the target language community per se may not guarantee a higher level of L2 learning motivation and that even those who initially have an externally-oriented ought-to L2 self can exhibit an ideal L2 self when their learning goals and participation in L2 communities become interlinked. Sensitization and the creation of affordances capture the moment of the transformation from the ought-to L2 self to the ideal L2 self.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".