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Record W2056923461 · doi:10.7202/602599ar

Conception et réalisation de logiciels : vers une plus grande intégration des connaissances de la langue

2009· article· fr· W2056923461 on OpenAlexaffvenue
Louisette Emirkanian, Lorne H. Bouchard

Bibliographic record

VenueRevue québécoise de linguistique · 2009
Typearticle
Languagefr
FieldComputer Science
TopicAI in Service Interactions
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

La souplesse d’adaptation et la puissance de calcul symbolique du micro-ordinateur permettent, d’une part, de créer une véritable interaction avec l’enfant et, d’autre part, de favoriser des activités amenant l’enfant à manipuler la langue et à réfléchir sur son fonctionnement. Ce sont ces deux caractéristiques du micro-ordinateur que nous avons essayé d’exploiter en réalisant des logiciels de français dont le but est d’amener l’enfant à une meilleure maîtrise de la langue écrite. L’un des logiciels porte sur les relatives complexes et a pour objectif de susciter chez l’enfant une réflexion explicite sur le fonctionnement de ces relatives; l’autre génère des phrases avec une erreur morphologique, syntaxique ou sémantique et analyse des phrases contenant des erreurs de même type.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.795
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.033
GPT teacher head0.337
Teacher spread0.303 · 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

Citations1
Published2009
Admission routes2
Has abstractyes

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