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Record W2615149019 · doi:10.17742/image.gdr.8-1.4

Adventures in Communism: Counterculture and Camp in East Berlin

2017· article· en· W2615149019 on OpenAlexvenueno aff
Jake P. Smith

Bibliographic record

VenueImaginations Journal of Cross-Cultural Image Studies · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicArt, Politics, and Modernism
Canadian institutionsnot available
Fundersnot available
KeywordsCountercultureAdventureHumanitiesCommunismArt historyArtHistorySociologyPolitical sciencePoliticsLaw

Abstract

fetched live from OpenAlex

Abstract | This essay examines the encounter between Western countercultural groups and the urban landscape of East Berlin in the years immediately following the fall of the Berlin Wall in 1989. Focusing on squatted houses, the underground techno scene, and experimental art projects, the essay argues that countercultural groups who were active in East Berlin in the early 1990s developed a peculiar set of practices that were characterized both by their campy aesthetics and by their temporal indeterminacy. The essay posits that these experimental temporal practices were only possible due to the layered historicity of urban space in the dilapidated, inner-city neighbourhoods of East Berlin. Résumé | Cet essai étudie la rencontre entre les groupes contre-culturels Occidentaux et le paysage urbain de Berlin-Est suite à la chute du Mur de Berlin en 1989. A travers une analyse des squats, de la scène techno « underground » et des projets d’art expérimental, l’essai soutient que les groupes contre-culturels actifs dans le Berlin-Est du début des années 1990 ont développé un ensemble de pratiques caractérisé à la fois par leur esthétique maniérée et leur indétermination temporelle. L’essai avance que seule l’historicité imbriquée de l’espace urbain dans les quartiers pauvres et dilapidés du Berlin-Est a rendu possible ces pratiques temporelles expérimentales.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.666
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.006
Scholarly communication0.0030.007
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.084
GPT teacher head0.420
Teacher spread0.336 · 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 teacher head, not a consensus.

Study designQualitative
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

Citations0
Published2017
Admission routes1
Has abstractyes

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