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Record W4220792584 · doi:10.18192/olbij.v11i1.6184

Discussion académique sur le New London Group et les multilittératies : réflexions de chercheurs francophones et perspectives contemporaines

2022· article· fr· W4220792584 on OpenAlexaffvenue
Amal Boultif, Myra Deraîche, Simon Collin, Francis Bangou, Jean-François Boutin, Nathalie Lacelle

Bibliographic record

VenueOLBI Journal · 2022
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsUniversité du Québec à RimouskiUniversité du Québec à MontréalUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Cet article est une réflexion posée par quatre chercheurs sur le concept des multilittératies et ayant comme point de départ le manifeste du New London Group (NLG, 1996). Il a été proposé à quatre chercheurs en didactique des langues et du français de lire ou de relire le texte fondateur du New London Group pour en discuter autour de questions préétablies, inspirées des problématiques abordées par le manifeste. Cet article, qui s’inspire du modèle de la conversation académique, fait la synthèse des réflexions des quatre participants et s’organise autour des thématiques suivantes : la réception du manifeste, son apport, la clarification du concept de multilittératies et les perspectives de recherche en enseignement des langues et du français, avec un retour critique sur le texte. L’article se conclut par une réflexion prospective sur les avenues à explorer dans le domaine des multilittératies.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.282
Threshold uncertainty score0.560

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0200.025
Scholarly communication0.0130.008
Open science0.0010.007
Research integrity0.0040.004
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 head0.058
GPT teacher head0.304
Teacher spread0.245 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueOLBI JournalSame topicLinguistics and Discourse AnalysisFrench-language works237,207