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Record W2060819575 · doi:10.1017/s0959269510000013

Acquisition of adjectives in Quebec French as revealed by elicitation data

2010· article· en· W2060819575 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of French Language Studies · 2010
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsUniversité de MontréalCentre for Research on Brain Language and MusicCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsAdjectiveLinguisticsContext (archaeology)NounFrenchPsychologyVariable (mathematics)Natural language processingComputer scienceArtificial intelligenceMathematicsHistoryPhilosophy

Abstract

fetched live from OpenAlex

ABSTRACT This study presents data from an elicitation study on French size and color adjectives in noun phrases (DPs), both early acquired structures. Thirty-two francophone children aged 3–5 years participated in the study. Adjectives were elicited using specially designed puzzles and spontaneous speech corpora. We observed that errors in French variable adjectives are produced in the early acquisition stages, especially in the context of feminine colour DPs. We propose that the source of difficulty for feminine variable adjectives is the retrieval of a lexicalized form that competes with the masculine adjective denoting the same concept.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.647
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0010.000

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 head0.021
GPT teacher head0.363
Teacher spread0.342 · 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