D-linked and non-d-linked<i>wh</i>-questions in L2 French and L3 English
Bibliographic record
Abstract
Abstract This study considers L2 French and L3 English ultimate attainment among L1 Moroccan Arabic adult learners. It contrasts the acquisition of two types ofwh-questions: discourse-linked and non-discourse-linked questions in root and embedded forms. The results of two acceptability judgment tasks indicate that the advanced learners in L2 French and L3 English are nativelike on d-linkedwh-questions but less accurate on non-discourse-linked interrogatives. They successfully unlearn resumption as an L1 strategy to form discourse-linked questions. Therefore, contra the prediction of the Interface Hypothesis, discourse-linking is acquirable though it is a property of the syntax-discourse interface. It does not pose more learning difficulty than quantification (formalwh-feature) of narrow syntax. The study indicates that embedding and thereby the processing cognitive load are the deterministic variables, not the language domain of constructions.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".