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Record W2516225630 · doi:10.3138/seminar.52.3.02

Thomas Mann im Fernsehen der DDR: Peter Vogels Verfilmung des <i>Kleinen Herrn Friedemann</i>

2016· article· de· W2516225630 on OpenAlexvenueno aff
Yahya Elsaghe

Bibliographic record

VenueSeminar A Journal of Germanic Studies · 2016
Typearticle
Languagede
FieldArts and Humanities
TopicGerman History and Society
Canadian institutionsnot available
Fundersnot available
KeywordsNovellaGermanDemocracyArt historyArtPolitical scienceHumanitiesHistoryLawLiteraturePolitics

Abstract

fetched live from OpenAlex

Peter Vogel’s film adaptation of Thomas Mann’s novella Der kleine Herr Friedemann, originally intended for the television of the German Democratic Republic, was planned right before and produced in parallel to German reunification. Based on the history of the film’s production, this article examines three main questions: Does the film strive to meet governmental standards or demands, or was it visibly produced with a GDR audience in mind? Conversely, does the film exhibit any subversive qualities? And, finally, does it in any way react to the process of reunification?

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)0.000
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.003
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.054
GPT teacher head0.279
Teacher spread0.224 · 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
Published2016
Admission routes1
Has abstractyes

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