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Record W2589010107

Die Detektivfunktion in "Berlin Alexanderplatz" - eine erzähltheoretische Analyse der Ver- und Enthüllungsstrategien in Alfred Döblins Roman.

2009· article· de· W2589010107 on OpenAlexfundno aff
Matthias Mueller

Bibliographic record

VenueQSpace (Queen's University Library) · 2009
Typearticle
Languagede
FieldArts and Humanities
TopicNarrative Theory and Analysis
Canadian institutionsnot available
FundersQueen's University
KeywordsArt
DOInot available

Abstract

fetched live from OpenAlex

This thesis analyses the function of the detective in Alfred Dblin's Berlin Alexanderplatz.I argue that the modernist metropolis Berlin challenges the way in which crimes are solved by complicating the process of identifying those responsible for them.The ambivalence of life makes it impossible to get to the truth of crime.This ambivalence, partly created by the urban context, leads to the reinvention of the role of the detective.No longer located in the individual, the function of the detective is shared among author, narrator, protagonist, reader, and the city, whereby the protagonist Franz Biberkopf (on the intra-textual level) and the reader (on the extratextual level) are the major players.However, neither Biberkopf nor the reader succeeds in this process, but are forced to accept the solution suggested by the text.The thesis adopts a narratological approach in analysing the narrative processes of veiling and unveiling facts and circumstances.It demonstrates how Biberkopf's specific perception of urban space and his attempt to give it a particular shape in his imagination, as well as the complex relationship of story and discourse in the novel, contribute to the obfuscation of fact and fiction.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.803
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0000.004
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.010
GPT teacher head0.206
Teacher spread0.196 · 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 designTheoretical or conceptual
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
Published2009
Admission routes1
Has abstractyes

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