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Record W3094898949 · doi:10.37213/cjal.2020.30437

Adossement des épreuves d’expression orale et écrite du Test de connaissance du français (TCF) sur les Niveaux de compétences linguistiques canadiens (NCLC) et correspondance avec les niveaux du Cadre européen commun de référence pour les langues (CECRL)

2020· article· fr· W3094898949 on OpenAlex
Vincent Folny

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.

venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Journal of Applied Linguistics · 2020
Typearticle
Languagefr
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

En 2015, le CIEP a mené une étude afin de pouvoir adosser les productions écrites et orales du Test de connaissance de français (TCF) aux NCLC et d’établir une correspondance avec les niveaux du CECRL. In fine, Il s’agissait d’assurer aux candidats à l’immigration au Canada une bonne interprétation de leur niveau de compétence et de pouvoir expliquer les procédures mise en place pour l’interprétation des scores. Pour assurer l’adossement des épreuves d’expression écrites et orales du TCF aux niveaux NCLC, plusieurs procédures et études ont été mises en place : utilisation des niveaux CECR attribués à une sélection de productions au cours des corrections du TCF, séminaire organisé avec des panélistes pour attribuer des niveaux NCLC à ces mêmes productions, analyses psychométriques pour le calibrage de la sélection de productions, évaluation du lien entre les niveaux attribués avec les deux échelles (NCLC et CECR) afin de vérifier la convergence des résultats, analyses qualitatives des descripteurs NCLC et CECR et mise en correspondance.

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)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.852
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.036
GPT teacher head0.247
Teacher spread0.211 · 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