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Exploring Multiliteracies Pedagogies With Pre-Service Teachers

2019· book-chapter· en· W2949202002 on OpenAlexaffabout
Joanne Robertson

Bibliographic record

VenueAdvances in multimedia and interactive technologies book series · 2019
Typebook-chapter
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsFraming (construction)PedagogySituatedLiteracySociologyTeacher educationPerspective (graphical)Mathematics educationPsychologyEngineeringComputer science

Abstract

fetched live from OpenAlex

This chapter provides a review of the research literature related to contemporary views of literacy, including the concept of multiliteracies that originated with the New London Group in the 1990s. The chapter aims to facilitate understanding of a pedagogy of multiliteracies from a Canadian perspective, both in terms of the current research agenda and the implementation of multiliteracies in practice, with a specific focus on the role of teacher education programs. Using a self-study methodology, the author shares her experiences as a teacher educator in British Columbia and proposes a pedagogical framework for pre-service teachers that aims to deepen their understanding of multiliteracies through situated practice, overt instruction, critical framing, and transformed practice. The chapter includes a discussion of digital resources that may enhance educators' ability to design literacy programs that are responsive to the rich cultural and linguistic identities of their students.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.040
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0120.008
Scholarly communication0.0100.005
Open science0.0010.007
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.052
GPT teacher head0.274
Teacher spread0.222 · 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

Citations1
Published2019
Admission routes2
Has abstractyes

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