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Record W565555796

Narrative Structure in Comics: Making Sense of Fragments

2013· book· en· W565555796 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typebook
Languageen
FieldArts and Humanities
TopicComics and Graphic Narratives
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsComicsNarrativeStorytellingMeaning (existential)LiteratureArtNarrative structureVisual artsAestheticsPsychology
DOInot available

Abstract

fetched live from OpenAlex

In Narrative Structure in Comics: Making Sense of Fragments, Barbara Postema seeks to explain how comics communicate and create meaning, with an emphasis on two aspects of comics. She first examines the pictorial quality of comics, which receives more emphasis than verbal/textual elements. Her second focus is upon the storytelling and qualities of comics, as well as the literary explorations they provide. The narrative refers to the potential of images, the story telling capacities of panels, and the sequence of panels, in addition to the more traditional narratological concepts. Overall, the author presents a credible rationale for the way in which comics structure their narratives. At every level of communication, comics rely on gaps or absences to create meaning and guide the reader to a meaningful experience. RIT Press is pleased to announce Narrative Structure in Comics as the first book published in its Comics Monograph Series. BARBARA POSTEMA is a Postdoctoral Research Fellow at Ryerson University in Toronto, where she is working on a project about wordless comics. She has published several articles in the International Journal of Comic Art.

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.

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 score0.572
Threshold uncertainty score0.989

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0120.000

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 head0.018
GPT teacher head0.223
Teacher spread0.205 · 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

Quick stats

Citations161
Published2013
Admission routes2
Has abstractyes

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