The perception and interpretation of sentence types by L1 Spanish–L2 English speakers
Bibliographic record
Abstract
Abstract While the L2 perception of segmentals has been investigated, our knowledge of the L2 perception of intonation is limited. Moreover, it is unclear how context affects L1 transfer. This study investigates the perception of English sentence types by adult L1 Spanish speakers across tasks varying in contextual information. In Task 1, participants heard low-pass filtered utterances and identified them as statements, questions or exclamations. Task 2 was similar, but consisted of unaltered utterances. In Task 3, participants heard a scenario and three options (absolute question, declarative question, statement), and selected the best one. Accuracy and reaction times were measured. Learners had the most difficulty in Task 3, but were target-like in the others, confirming previous findings. Namely, L2 speakers perform better in tasks lacking contextual information versus contextualized ones. Thus, while learners maintain their auditory resolution to intonation cues in non-speech tasks, they cannot relate contours to appropriate L2 meanings.
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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 | 0.003 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".