The reader-text-writer interaction: L2 Japanese learners' responses toward graded readers
Bibliographic record
Abstract
This paper reports on two projects which investigated graded readers (GRs) as meaningful input for learners of Japanese as a foreign language (JFL). Project One examined the intentions of six writers of Japanese GRs. A focus group interview demonstrated that the writers had a genuine communicative intent in the writing process. Project Two investigated how fourteen learners of JFL responded to the GRs produced by these writers. Most participants welcomed lexical simplification in the GRs and their think-aloud protocols indicated that they experienced an effortless reading process with the GRs. This implies that GRs can be productive reading materials for JFL reading fluency development. In the affective domain, the less proficient participants tended to react favourably to the writers’ communicative intent, whereas advanced participants demonstrated negative perceptions toward reading the GRs. The paper argues that the potential of GRs as meaningful input for learners of JFL is maximized when their efficacy is explicitly taught.
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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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".