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Record W4386306994 · doi:10.5117/9789463727136_ch05

The Aggregate Image and the World Economy

2023· book-chapter· en· W4386306994 on OpenAlexaff
Owen Lyons

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicEuropean history and politics
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsAdventureMovie theaterWorld economySection (typography)ConventionPoliticsArtEconomyArt historyPolitical scienceEconomicsLawBusinessAdvertising

Abstract

fetched live from OpenAlex

Chapter 5 turns to the emergence of the ‘aggregate image’ in the cinema and economic discourse of the Weimar Republic. It discusses Eisenstein’s plans for a film based on Marx’s Das Kapital and Brecht’s unfinished play Jae Fleischhacker in Chikago (1924), which attempted to dramatize the grain market. Discovered fragments of Balázs’s K 13 513: Die Abenteuer eines Zehnmarkscheins (‘Adventures of a Ten Mark Note’ or ‘Uneasy Money,’ 1926) – the first ‘cross-section film’ – are discussed along with Kuhle Wampe, oder: Wem gehört die Welt? (‘Kuhle Wampe, or: Who Owns the World?,’ 1932). The visual convention of the Querschnitt (‘cross-section’), a radical montage aesthetic, was emptied of its political content in the creation of a corporate vision of the world economy in Melodie der Welt (‘Melody of the World,’ 1929). The cinematic ‘aggregate image’ of the world is placed alongside parallel developments in economics that were used to create an image of the world economy.

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)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.009
Scholarly communication0.0080.006
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 head0.030
GPT teacher head0.263
Teacher spread0.233 · 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
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

Citations0
Published2023
Admission routes1
Has abstractyes

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