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Record W1967836424 · doi:10.1177/1746847711406374

Magic Lantern, Dark Precursor of Animation

2011· article· en· W1967836424 on OpenAlexaff
Thomas Lamarre

Bibliographic record

VenueAnimation · 2011
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsMovie theaterLanternAnimationMAGIC (telescope)ArtAnimeComputer graphics (images)AestheticsVisual artsComputer sciencePhysicsArtificial intelligenceAstronomy

Abstract

fetched live from OpenAlex

This article works through a contrast between the magic lantern and movie projector, focusing on Meiji Japan (1868—1912) as a pivotal site in order to address the relation between cinema and animation, historically and ontologically. Using Simondon’s notion of technical objects to transform Foucault’s notion of dispositif into a theory of technical paradigms, the author finds that the difference between cinema and animation is not primarily one of materials but of qualities of movement. An exploration of the projection-image ( utsushie) of the magic lantern suggests that cinema and animation share a technical paradigm, linked to electromagnetism, one that is shadowed by Cartesian technism. Modifying Deleuze’s emphasis on any-instant-whatever and on time as the virtual of the cinematic movement-image, this study finds that cinema and animation share a dark precursor, any-matter-whatever. Because animation stays close to any-matter-whatever, it offers a direct experience of life-in-matter, and anticipates the any-medium-whatever of the digital.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.013
Scholarly communication0.0040.006
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.059
GPT teacher head0.226
Teacher spread0.167 · 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 designNot applicable
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

Citations29
Published2011
Admission routes1
Has abstractyes

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