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Record W3005656715 · doi:10.7202/1067311ar

Les homophones grammaticaux, portrait actuel des occurrences et des taux de réussite chez des élèves de 9 à 12 ans

2019· article· en· W3005656715 on OpenAlex
Marie‐Hélène Giguère, Rebeca Aldama

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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Journal of Applied Linguistics · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicWriting and Handwriting Education
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHomophonePortraitLinguisticsPsychologyHumanitiesArtPhilosophyArt history

Abstract

fetched live from OpenAlex

This study aims to describe occurrences of homophone words and frequencies of grammatical homophone errors in 119 free texts of 9 to 12-year-old Quebec students from a list of 22 series of homophones. This analysis made it possible to confirm that grammatical homophones are widely used by students, but that, considering all the possibilities in the different series, they are more successful than we had anticipated. Thus, our results made it possible not only to establish a current portrait of the homophone words spontaneously used by 9 to 12-year-old students in their texts, but also to identify constants in the successes (related to the frequency). Some syntactic contexts were also analyzed to identify priority areas to work on for teachers. Finally, our study identifies areas of vulnerability among students based on three factors: gender, age, and socio-economic background. The discussion concludes with recommendations for teaching grammatical categories.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.149
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.037
GPT teacher head0.315
Teacher spread0.279 · 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