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Record W2986667048 · doi:10.1525/luminos.65

Frame by Frame: A Materialist Aesthetics of Animated Cartoons

2018· book· en· W2986667048 on OpenAlex
Hannah Frank

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicMedia, Gender, and Advertising
Canadian institutionsnot available
FundersAmherst CollegeWalt Disney CompanyYork UniversityYale UniversityEli Lilly and Company
KeywordsAnimationVisual artsFrame (networking)ArtMaterialismAssemblage (archaeology)AestheticsArt historyHistoryComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Edited and with an introduction by Daniel Morgan<br>Foreword by Tom Gunning In this beautifully written and deeply researched study, Hannah Frank provides an original way to understand American animated cartoons from the Golden Age of animation (1920–1960). In the pre-digital age of the twentieth century, the making of cartoons was mechanized and standardized: thousands of drawings were inked and painted onto individual transparent celluloid sheets (called “cels”) and then photographed in succession, a labor-intensive process that was divided across scores of artists and technicians. In order to see the art, labor, and technology of cel animation, Frank slows cartoons down to look frame by frame, finding hitherto unseen aspects of the animated image. What emerges is both a methodology and a highly original account of an art formed on the assembly line. “A thrilling read—one of the most exuberant, brilliant books I’ve come across in a very long time. I have lived with many of the cartoons Hannah Frank analyzes for pretty much my entire life and never suspected the hidden life or lives within their images, the inscription of histories (social, personal, technological, aesthetic) in which, it turns out, they abound.” SCOTT BUKATMAN, Stanford University “Frank’s work is deeply refreshing in its ability to think across and weave together different strands of the debates about animation that have arisen to date. These are big conversations, and Frank is impressive in her ability to think lucidly across them in such fluent and productive ways.” KAREN REDROBE, University of Pennsylvania HANNAH FRANK (1984–2017) was Assistant Professor of Film Studies at the University of North Carolina Wilmington. Her work has been published in <i>Critical Quarterly and Animation: An Interdisciplinary Journal</i>, and she contributed to <i>A World Redrawn: Eisenstein and Brecht in Hollywood</i>. DANIEL MORGAN is Associate Professor of Cinema and Media Studies at the University of Chicago and is author of <i>Late Godard and the Possibilities of Cinema.</i>

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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.028
Threshold uncertainty score0.997

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.024
GPT teacher head0.311
Teacher spread0.287 · 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

Citations8
Published2018
Admission routes1
Has abstractyes

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