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Record W2140590302 · doi:10.1017/s0022226702001688

Clitic placement in L2 French: evidence from sentence matching

2002· article· en· W2140590302 on OpenAlexaff
Nigel Duffield, Lydia White, Joyce Bruhn de Garavito, Silvina Montrul, Philippe Prévost

Bibliographic record

VenueJournal of Linguistics · 2002
Typearticle
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsUniversité LavalWestern UniversityMcGill University
Fundersnot available
KeywordsCliticLinguisticsInterlanguageVariety (cybernetics)Feature (linguistics)SentencePsychologyGrammarMatching (statistics)Computer scienceArtificial intelligenceMathematicsStatistics

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.079
GPT teacher head0.276
Teacher spread0.196 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations58
Published2002
Admission routes1
Has abstractyes

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Same venueJournal of LinguisticsSame topicSyntax, Semantics, Linguistic VariationFrench-language works237,207