Japanese L2 learners’ subjective construal: an analysis of expressions of emotion and evaluation in written storytelling found in I-JAS data
Bibliographic record
Abstract
Abstract Japanese is considered to be a language in which speakers tend to take a subjective stance by locating themselves within the situation they construe. Previous research indicates that in storytelling, Japanese L2 learners employ fewer expressions of viewpoint than L1 speakers do, and viewpoint tends to shift from character to character. Do Japanese L2 learners, then, typically take an objective stance, or do they use other devices to take a subjective stance? The present study compared Japanese L2 learners’ subjective construal with that of L1 speakers in two types of storytelling. The results indicated that while Japanese L1 speakers typically used passive voice to maintain a viewpoint, L2 learners employed a variety of expressions related to emotion and evaluation to subjectively describe the given events throughout each story. The study suggests the existence of interlanguage in that L2 learners use vocabulary-based devices instead of grammatical devices for subjective construal.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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".