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Record W2898131027 · doi:10.4324/9780203713556

Literacy and Multimodality Across Global Sites

2016· book· en· W2898131027 on OpenAlexaff
Maureen Kendrick

Bibliographic record

Venuenot available
Typebook
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMultimodalityLiteracyLinguisticsPsychologyPedagogyPhilosophy

Abstract

fetched live from OpenAlex

Over the past three decades, our conceptualizations of literacy and what it means to be literate have expanded to include recognition that there is a qualitative difference in how we communicate through modalities such as the visual, audio, spatial, and linguistic and that different modes are combined in complex ways to make meaning. The field of multimodality is concerned with how human beings use different modes of communication to represent or make meaning in the world. Despite the rapid growth of international research in this area, accounts of a broader range of global sites, particularly economically under-resourced and culturally diverse contexts such as Sub-Saharan Africa, remain under-researched and under-represented in the literature. This book contextualizes a range of literacies including health literacies, community literacies, family literacies, and multilingual literacies within broader modes of communication, most specifically play and the visual. The claim is that powerful pedagogies, methodologies and theories can be constructed by taking a more detailed look at multimodal meaning-making in diverse contexts. By describing and analyzing multimodal practices and texts across a diverse range of contexts, the book highlights different constructs, issues and emerging questions dealing with the study of literacies and multimodality.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.623
Threshold uncertainty score0.995

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 studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.028
GPT teacher head0.303
Teacher spread0.274 · 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
GenreOther

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

Citations30
Published2016
Admission routes1
Has abstractyes

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