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Record W2741569170 · doi:10.1177/2381336917719247

Readings and Experiences of Multimodality

2017· article· en· W2741569170 on OpenAlexaff
Kevin M. Leander, Stergios Botzakis, Christian Ehret, David E Landry, Jennifer Rowsell

Bibliographic record

VenueLiteracy Research Theory Method and Practice · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsBrock UniversityMcGill University
Fundersnot available
KeywordsEmbodied cognitionReading (process)MultimodalitySemioticsMeaning (existential)Variety (cybernetics)Focus (optics)ModalitiesSociologyAffect (linguistics)AestheticsLinguisticsEpistemologyComputer scienceArtCommunicationSocial science

Abstract

fetched live from OpenAlex

Our understanding of reading—including reading multimodal texts—is always constrained or opened up by what we consider to be a text, what aspects of a reader’s embodied activity we focus on, and how we draw a boundary around a reading event. This article brings together five literacy researchers who respond to a human-scale graphic novel, comprised of over 300 large-scale paintings, recently exhibited in an art gallery and also published in print form. The researchers' responses reflect a variety of theoretical orientations, including postcolonial theory, critical theory, affect theories, new materialisms, social semiotics, and reading development theories. The author of the novel also reflects on his own creative processes and goals. These various responses, and the multiple modalities of the work itself, are intentionally juxtaposed in order to create productive tensions, contrasts, and open spaces for reconsidering how multimodal texts are read and experienced. Dimensions of reading as a meaning-making, affective, embodied experience are productively put into play with one another.

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)0.015
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.178
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.003
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.218
GPT teacher head0.532
Teacher spread0.314 · 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

Citations25
Published2017
Admission routes1
Has abstractyes

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