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Record W4404313298 · doi:10.18806/tesl.v41i1/1398

Mapping Literacies, Mapping Selves

2024· article· en· W4404313298 on OpenAlexaffvenue
Harini Rajagopal, Monica Shank Lauwo

Bibliographic record

VenueTESL Canada Journal · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsLinguisticsLiteracyPsychologySociologyPedagogyPhilosophy

Abstract

fetched live from OpenAlex

Rooted in commitments to racial and linguistic justice, this study examines possibilities for multimodal autobiographical storytelling to support teacher candidates (TCs) to consider linguistic and racial injustices through engaging with their own raciolinguicized subjectivities. Theorising with critical multilingual awareness (CMLA), understandings of raciolinguicized subjectivities, and racial literacy, we inquire how processes of multimodal autobiographical storytelling can nurture dispositions and practices of CMLA and antiracism. Drawing from a four-year critical action research study, we examine how four multimodal activities in language-related coursework supported TCs to interrogate the role of race and language in their life stories, education, and society. The multimodal activities include: (1) three-part multiliteracies autobiographies; (2) collaborative literacy life mapping; (3) racial literacy exploration; and (4) reflective drawings. Findings demonstrate how multimodal autobiographical activities enable TCs to creatively and critically story their identities and learning journeys, while denaturalizing raciolinguistic ideologies. Findings also highlight relative affordances and constraints in individual versus collaborative processes of reflective storying; and the significance of compassionate listening as both process and aspiration of critical multilingual antiracist pedagogy. Implications centre on generative possibilities of multimodal autobiographical storytelling to support TCs to disrupt systemic racism and settler colonialism in language education. La présente étude, ancrée dans un engagement envers la justice raciale et linguistique, examine les possibilités qu’offre le récit autobiographique multimodal pour aider les futurs enseignants à prendre en compte les injustices linguistiques et raciales alors qu’ils s’engagent dans leurs propres subjectivités raciales et linguistiques. En adoptant comme bases théoriques la conscience multilingue critique, la compréhension des subjectivités raciales et linguistiques et la littératie raciale, nous nous demandons comment le processus de narration autobiographique multimodale peut favoriser les tendances et les pratiques de la conscience multilingue critique et de l’antiracisme. En nous appuyant sur une étude de recherche-action critique ayant duré quatre ans, nous examinons comment quatre activités multimodales dans les cours de langue ont aidé les futurs enseignants à interroger le rôle de la race et de la langue dans leurs histoires de vie, leur éducation et leur société. Les activités multimodales consistaient en (1) des autobiographies de multilittératies en trois parties; (2) une cartographie collaborative de la vie et de la littératie; (3) une exploration de la littératie raciale; et (4) des dessins réflexifs. Les résultats montrent comment les activités autobiographiques multimodales permettent aux futurs enseignants de raconter de manière créative et critique leurs identités et leurs parcours d’apprentissage, tout en déconstruisant les idéologies raciales et linguistiques. Les résultats mettent également en évidence les possibilités et les contraintes relatives aux processus individuels et collaboratifs de narration réflexive, ainsi que l’importance de l’écoute compatissante en tant que processus et but de la pédagogie multilingue critique et antiraciste. Les implications se concentrent sur les possibilités génératives des récits autobiographiques multimodaux pour soutenir de futurs enseignants à perturber le racisme systémique et le colonialisme dans le domaine de l’enseignement des langues.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.433
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0330.000

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 head0.026
GPT teacher head0.214
Teacher spread0.188 · 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 designNot applicable
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

Citations6
Published2024
Admission routes2
Has abstractyes

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Same venueTESL Canada JournalSame topicLiteracy, Media, and EducationFrench-language works237,207