Lexical Aspects of Very Advanced L2 French
Bibliographic record
Abstract
Abstract: The present study investigates the possibilities for adult learners to attain nativelikeness in the domain of lexis. Aspects investigated are general lexical knowledge (C-test), receptive deep knowledge, productive collocation knowledge, and productive lexico-pragmatic knowledge in a group of long-residency Swedish French second language (L2) users in France and a matched native control group. The analysis includes correlations between these different vocabulary aspects as well as their relation to the length of residence in the target-language (TL) community. The study reveals that it is possible for L2 learners to attain nativelikeness in general lexical knowledge and lexico-pragmatic knowledge, whereas deep knowledge and collocations are especially difficult for L2 learners, supporting earlier research findings. Furthermore, a strong correlation is found between general lexical knowledge and collocations, but surprisingly not between any of the other aspects, or between vocabulary aspects and length of residence. The results are discussed in light of individual differences in research.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.003 | 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 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".