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Record W4392115825 · doi:10.1017/9781805431459.006

Greenwashing in Black and White: Berlin: Die Sinfonie der Großstadt, Die Stadt der Millionen, Menschen am Sonntag

2023· other· de· W4392115825 on OpenAlexaff
Seth Peabody

Bibliographic record

Venuenot available
Typeother
Languagede
FieldArts and Humanities
TopicGerman Colonialism and Identity Studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsDie (integrated circuit)GreenwashingWhite (mutation)ArtPolitical scienceEngineering

Abstract

fetched live from OpenAlex

4 million people waiting … Marx noted that capitalism is in the first instance a question of managing time, of “the annihilation of space by time” … One Of The Great Legends of film history centers around the arrival of a train. As an excited audience watches the beginning of a film, a long passenger train glides from the right-hand edge into the middle of the frame toward the camera. The legend, of course, is that when this short film was first seen in 1895, viewers were terrified and ran away from the screen as if a real train were barreling down upon them. They did not need to wait for the train—it was already moving, and their response, according to the legend, was to get out of the way. Building on this long-standing sense of connection between the physicality of railroad infrastructure and the creative medium of film, the present chapter examines semi-documentary films from Weimarera Berlin. Transport infrastructure features prominently in these films. Walter Ruttmann's Berlin: Die Sinfonie der Großstadt (Berlin: Symphony of the Metropolis, 1927), begins with a long prelude showing a train ride into the city and features scenes of street traffic throughout the film. The first feature-length Berlin film, Adolf Trotz's Die Stadt der Millionen (City of Millions) from 1925, ends with an animated image of numerous train lines descending on a picture of the bear that serves as the city's symbol. Menschen am Sonntag (People on Sunday, 1930) shows an allday excursion by regional rail to a lake on the edge of the city; it also emphasizes diverse other types of urban mobility throughout the film. In all of these cases, transport infrastructures seem to stand in for the mobility, interconnectivity, and complexity intrinsic to the urban setting. The repeated focus on transportation technologies reveals an awareness of the underlying infrastructures that make the flurry of urban activity possible and a desire to render those infrastructures visible through film. As elsewhere in this book, my use of the term “infrastructure” in this context is intentionally broad. Matthew Gandy notes that the word originally referred to railroad systems, but has “gradually acquired a wider set of meanings and applications, and has proved surprisingly malleable in relation to the development of different types of technical and organizational networks.”

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.385
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.004

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 head0.027
GPT teacher head0.241
Teacher spread0.214 · 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; both teacher heads agree on what is shown here.

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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