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Record W4300716837 · doi:10.31274/psllt.15694

Teaching French Final Consonants and Grammatical Gender of Inanimate Nouns

2022· article· en· W4300716837 on OpenAlexafffund
Nadine deMoras

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsWestern University
FundersBrescia University College
KeywordsPronunciationNounLinguisticsGrammarVocabularyComputer scienceActive listeningPsychologyGrammatical categoryNatural language processingArtificial intelligenceCommunicationPhilosophy

Abstract

fetched live from OpenAlex

Because most final consonants are mute in French but pronounced in English, Anglophones tend to pronounce them in French. The pronunciation of final consonants in French indicates the presence of a final e, which marks the (feminine) grammatical gender of animate nouns in French. Thus, errors in the pronunciation of final consonants are pronunciation, grammar and vocabulary mistakes which risk hindering comprehensibility. In this lesson, participants learn and apply morpho-syntactic and phonetic patterns. After listening and repeating 10 French nouns similar to English nouns (<i>bracelet</i>, <i>secret</i>…) while looking at the written words, and their corresponding pictures, they are shown pictures of the same words without the written forms to retrieve the nouns, articles, and pronunciation. For transfer, participants are given new words with the same phonetic and grammatical (gender) rules so they can apply the rules to novel words, thus demonstrating they have internalized the phonetic and the grammatical rules.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.626
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.068
GPT teacher head0.369
Teacher spread0.300 · 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.

Study designTheoretical or conceptual
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
Published2022
Admission routes2
Has abstractyes

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Same topicFrench Language Learning MethodsFrench-language works237,207