Clitic placement in L2 French: evidence from sentence matching
Bibliographic record
Abstract
In this paper, we argue in favour of the NO IMPAIRMENT HYPOTHESIS , whereby L2 functional categories, features and feature values are attainable, and against the NO PARAMETER RESETTING HYPOTHESIS , according to which L2 learners are restricted to L1 categories and features, as well as against the LOCAL IMPAIRMENT HYPOTHESIS , which claims that the interlanguage grammar is characterized by inert feature values. An online experiment was conducted, investigating adult learners' knowledge of properties relating to clitic projections. Advanced learners of French (L1s English and Spanish), together with a native speaker control group, were tested on a variety of constructions involving clitics by means of the SENTENCE MATCHING procedure (Freedman & Forster 1985). L2 learners distinguished in their response times between certain kinds of grammatical and ungrammatical clitic placement, as did the native-speaker controls, suggesting the attainability of L2 properties distinct from the L1.
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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 | 0.003 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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".