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Record W3203948639

Les apprenants utilisent cet ordre souvent: Early stages in the acquisition of adverb placement and negation in L2 French

2012· article· en· W3203948639 on OpenAlexaff
Patricia Balcom

Bibliographic record

VenuePapers from the Annual Meetings of the Atlantic Provinces Linguistic Association (PAMAPLA) · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsInterlanguageNegationSecond-language acquisitionAdverbLinguisticsComputer scienceRestructuringGrammarPolitical scienceArtificial intelligencePhilosophyVerbLaw
DOInot available

Abstract

fetched live from OpenAlex

Within current SLA research in the generative framework, Full Transfer Full Access (Schwartz and Sprouse 1996, henceforth FTFA) is an influential model which aims to account for the initial state in adult L2 acquisition. There are two parts to FTFA. Full transfer means that the complete L1 grammar is the initial state in L2 acquisition. When the L2 input cannot be accommodated by the transferred L1 properties, learners have full access to UG, which allows them to entertain other hypotheses and constrains the restructuring of their Interlanguage grammars. In this paper I will explore the earliest stages of the L2 acquisition of adverbs and negation in L2 French in light of the predictions of FTFA.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.205
Threshold uncertainty score0.975

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.013
GPT teacher head0.231
Teacher spread0.217 · 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 teacher head, 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

Citations0
Published2012
Admission routes1
Has abstractyes

Explore more

Same venuePapers from the Annual Meetings of the Atlantic Provinces Linguistic Association (PAMAPLA)Same topicEFL/ESL Teaching and LearningFrench-language works237,207