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Record W2989731973 · doi:10.3138/cmlr.2019-0005

Explorations du sociomatériel dans les recherches sur l’apprentissage et l’enseignement des langues

2019· article· en· W2989731973 on OpenAlexaffvenueabout
Diane Dagenais

Bibliographic record

VenueCanadian Modern Language Review/ La Revue canadienne des langues vivantes · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPosthumanismSociologyField (mathematics)Sociocultural evolutionEpistemologyMaterialismHumanitiesAnthropologyPhilosophy

Abstract

fetched live from OpenAlex

For the last several years, we have seen a widening of the conceptual field in the research on language learning and teaching. Many articles published over the last 20 years in the The Canadian Modern Language Review draw on poststructural, sociocultural, and sociolinguistic theories and now occupy an important place alongside articles inspired by psycholinguistic perspectives. Recently, there has been interest in the field for theories of the material. Stemming from several disciplines, work on the topic emerges from various schools of thought, including posthumanism (Braidotti), new materialism (Bennett), and relational ontologies (Barad), among others, and several authors are inspired by the work of Deleuze and Guattari. According to these perspectives, discursive processes and social activities are entangled in the material world and are ontologically inseparable from it. Thus, the study of learning and teaching phenomena, inspired by these theoretical frameworks, moves away from an analysis centred solely on the person and the social. It examines the relations between the human and the material to find out how they take shape together, change continually, and affect the observed phenomena. In this article, I present some key concepts and avenues of research explored in this work. I also note how researchers explore research methods and conceptualizations of language learning and teaching that differ from those that have been privileged in the field until now.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.677
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.069
GPT teacher head0.264
Teacher spread0.195 · 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 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

Citations8
Published2019
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Modern Language Review/ La Revue canadienne des langues vivantesSame topicLinguistics and Discourse AnalysisFrench-language works237,207