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Record W2113003947 · doi:10.21992/t9hp7g

"East Germany Lives!”: An Encounter with Rural Graffiti

2014· article· en· W2113003947 on OpenAlexaffvenue
Anne E. Winkler

Bibliographic record

VenueTranscUlturAl A Journal of Translation and Cultural Studies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean history and politics
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGraffitiGermanConstruct (python library)DialecticTRACE (psycholinguistics)Reading (process)AdornmentAestheticsSociologyHistoryVisual artsArtPolitical scienceLawEpistemologyLinguisticsPhilosophyArchaeology

Abstract

fetched live from OpenAlex

This essay undertakes a provisional reading of spray-painted writing on a dilapidated rural bus shelter that I encountered while investigating cultural practices that evoke and invoke the East German past in contemporary Germany. The graffiti, which read “DDR lebt!” (“East Germany lives!”), appeared in large red letters and was accompanied by the shape of a heart. I propose interpretive possibilities for the themes to which the graffiti allude, acknowledging that I construct a translation that others may not share. The bus shelter with its adornment serves as entry point into interrogating how East Germany is remembered and historicized today. Drawing on Slavoj Žižek (2002) and Svetlana Boym (2001), I point to the limitations of applying the construct of nostalgia to practices that appear to appraise positively Germany’s socialist past. Alaida Assman’s (1996) use of the trace, Kevin Hetherington’s (2010) theorizing on the ruin, and Walter Benjamin’s dialectical image emerge as alternative possibilities for interrogating how individuals intervene in unconventional, unpredictable, and contradictory ways as they connect what has been to the present.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0230.019
Scholarly communication0.0060.005
Open science0.0010.006
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.061
GPT teacher head0.314
Teacher spread0.253 · 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 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
Published2014
Admission routes2
Has abstractyes

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Same venueTranscUlturAl A Journal of Translation and Cultural StudiesSame topicEuropean history and politicsFrench-language works237,207