LEXICAL PROFILES OF COMPREHENSIBLE SECOND LANGUAGE SPEECH
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study examined contributions of lexical factors to native-speaking raters’ assessments of comprehensibility (ease of understanding) of second language (L2) speech. Extemporaneous oral narratives elicited from 40 French speakers of L2 English were transcribed and evaluated for comprehensibility by 10 raters. Subsequently, the samples were analyzed for 12 lexical variables targeting diverse domains of lexical usage (appropriateness, fluency, variation, sophistication, abstractness, and sense relations). For beginner-to-intermediate speakers, comprehensibility was related to basic uses of L2 vocabulary (fluent and accurate use of concrete words). For intermediate-to-advanced speakers, comprehensibility was linked to sophisticated uses of L2 lexis (morphologically accurate use of complex, less familiar, polysemous words). These findings, which highlight complex associations between lexical variables and L2 comprehensibility, suggest that improving comprehensibility requires attention to multiple lexical domains of L2 performance.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.085 | 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 it