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Record W3199863111 · doi:10.3138/cmlr-2020-0097

Identités sociomatérielles et création d’histoires plurilingues et numériques

2021· article· en· W3199863111 on OpenAlexaffvenue
Magali Forte

Bibliographic record

VenueCanadian Modern Language Review/ La Revue canadienne des langues vivantes · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsMateriality (auditing)MaterialismSociologyNarrativeViewpointsContext (archaeology)AnthropocentrismPedagogyEpistemologyAestheticsLinguisticsVisual artsArtPhilosophyGeographyEnvironmental ethics

Abstract

fetched live from OpenAlex

In the context of this special issue offering new materialist viewpoints in the field of language education, a sociomaterial perspective allows me to question an anthropocentric definition of learners’ and teachers’ identities in a school context. Looking at two moments of plurilingual and digital story production that occurred in an elementary school located in a major city in British Columbia, I trace the trajectories of sociomaterial agencements which involved learners, languages, spaces, researchers and other materials. I adopt a post-qualitative inquiry stance and go back and forth between concepts from posthumanist, new materialist, Deleuzo-Guattarian and Indigenous perspectives and narrative descriptions, screenshots and other figures. Thinking with theories, I follow unpredictable lines of flight which lead to the rhizoanalysis of two moments lived in a French immersion classroom, and I invite readers to come up with their own questions and to take part in the inquiry process. The following concepts – spatial repertoires, agencements, body materiality, excesses and flows of affect – demand that we widen our gaze in research and in practice so that we can better understand the dynamic identity agencements that gather diverse human and material elements.

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 score0.714
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.022
GPT teacher head0.258
Teacher spread0.235 · 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

Citations4
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Modern Language Review/ La Revue canadienne des langues vivantesSame topicLiteracy, Media, and EducationFrench-language works237,207