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Record W2767359803 · doi:10.3138/seminar.53.4.04

“Berliner Sonderschule”: History, Space, and Humour in Jan Ole Gerster’s <i>Oh Boy</i> (<i>A Coffee in Berlin</i>)

2017· article· en· W2767359803 on OpenAlexvenueno aff
Robert E. Blankenship, Jill E. Twark

Bibliographic record

VenueSeminar A Journal of Germanic Studies · 2017
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeGermanMovie theaterArt historyArtSpace (punctuation)Visual artsHistoryLiteraturePhilosophyArchaeology

Abstract

fetched live from OpenAlex

The term Berliner Sonderschule appears both in a humorous scene in Jan Ole Gerster’s 2012 film Oh Boy (English: A Coffee in Berlin) and in a media interview in which Gerster uses it to refer to his own cinematic aesthetic. He thereby consciously sets his work apart from recent films belonging to the Berlin School. Exploring various cinematic and narrative techniques in Oh Boy—including how the director spotlights the city’s palimpsestuous architectural objects and displays the influence of German history on present-day Berliners—we reveal what Gerster might mean with his use of the tongue-in-cheek designation Berliner Sonderschule. We assess this appellation also as a way for the director to reinforce his distance from the Berlin School and to refer to his kaleidoscopic aesthetic with self-deprecating humour. In Oh Boy, Gerster confronts the interconnectedness of past and present, critiques the state of cinema in post-Wall Germany, and is not afraid to laugh at himself in the process.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.022

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 studies0.0040.010
Scholarly communication0.0050.003
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.073
GPT teacher head0.279
Teacher spread0.207 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

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