Lexical stress assignment preferences in L2 German
Bibliographic record
Abstract
Assigning stress to the appropriate syllable is consequential for being understood. Despite the importance, second language (L2) learners' stress assignment is often incorrect, being affected by their first language (L1). Beyond the L1, learners' lexical stress assignment may depend on analogy with other words in their lexicon. The current study investigates the respective roles of the L1 (English, French) and analogy in L2 German lexical stress assignment. Because English, like German, has variable stress assignment and French does not, participants included English- and French-speaking German L2 learners who assigned stress to German nonsense words in a perceptual preference and a production task. Results suggest a role of the L1, with English-speaking German L2 learners performing more like L1 German speakers. While French-speaking German L2 learners' performance could not be predicted by other factors, L2 German proficiency and the ability to produce analogous words were predictive of English-speaking German L2 learners' production performance.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".