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Record W4306834975 · doi:10.21230/reefmm52

COMMENT DES MEMBRES DU PERSONNEL ÉDUCATIF D’UNE ÉCOLE FRANCOPHONE MINORITAIRE SE REPRÉSENTENT-ILS LEUR RÔLE DE PASSEUR CULTUREL?

2022· article· fr· W4306834975 on OpenAlexaffvenueabout
Monique Richard, Sylvia Kasparian

Bibliographic record

VenueÉducation Francophone en Milieu Minoritaire · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsHumanitiesFrenchSociologyPhilosophy

Abstract

fetched live from OpenAlex

La problématique du développement linguistique et culturel dans les écoles de langue française en milieu minoritaire mérite qu’on s’y attarde, d’autant plus que le personnel éducatif est appelé à agir non seulement sur la réussite éducative des élèves, mais aussi sur la transmission de la langue et de la culture d’expression française. C’est aussi son rôle de passeur culturel d’accompagner les élèves dans un processus de construction identitaire. Comment dix éducateurs d’une école secondaire francophone au Nouveau-Brunswick se représentent-ils ce rôle ? L’analyse informatisée avec le logiciel IRaMuTeQ des univers de discours contenus dans les entretiens recueillis lors d’une recherche-action révèle que la langue, la culture, les valeurs et actions, mais aussi les défis reliés à ce rôle constituent le noyau central des représentations de ce rôle. The issue of linguistic and cultural development in French-language schools in a minority setting needs to be investigated, especially since educational personnel are called upon, not only to ensure the student’s academic success, but also the transmission of French language and culture. It is therefore their role to guide the students in a process of cultural identity building. The data collected from this action research, involving ten educators from a French New Brunswick high school, was processed with IRaMuTeQ software. The themes that emerged from the analysis revealed that language and culture, values and actions, as well as challenges they encounter, are at the centre of their concerns as cultural transmitters.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.194
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.005
Science and technology studies0.0060.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.024
GPT teacher head0.304
Teacher spread0.280 · 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; both teacher heads agree on what is shown here.

Study designQualitative
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
Published2022
Admission routes3
Has abstractyes

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