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Record W2557508577 · doi:10.3138/seminar.52.4.03

Surveillance Narratives: Kafka, Orwell, and Ulrich Peltzer’s Post-9/11 Novel <i>Teil der Lösung</i>

2016· article· en· W2557508577 on OpenAlexvenueno aff
Betiel Wasihun

Bibliographic record

VenueSeminar A Journal of Germanic Studies · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicFranz Kafka Literary Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeUndoingPostmodernismResistance (ecology)AuthoritarianismRepresentation (politics)DemocracyPoliticsSociologyLawAestheticsPolitical scienceLiteratureHumanitiesArtPsychoanalysis

Abstract

fetched live from OpenAlex

In the aftermath of the 9/11 terror attacks and the ensuing increase in state controlled surveillance measures questions revolving around authority, privacy and individual freedom call for re-examination. Reading Ulrich Peltzer’s contemporary Berlin novel Teil der Lösung against the backdrop of Kafka’s Der Process and Orwell’s 1984, the following paper will examine continuities and ruptures in the representation of surveillance with regards to privacy and – first and foremost – authority. Kafka’s and Orwell’s “Ur-Surveillance Novels” (Nellis 2009) are revealed as precursors to the contemporary critique of surveillance at work in Peltzer’s fiction and in Trojanow’s and Zeh’s polemic pamphlet “Angriff auf die Freiheit”. While exploring how in the wake of 9/11 political resistance towards surveilling authorities is mirrored in contemporary German literature, I also elucidate the question of narrative authority within structures of surveillance in Kafka’s Der Process, Orwell’s 1984 and Peltzer’s Teil der Lösung. I argue that Peltzer’s postmodern text criticizes surveillance practices by undoing the centralized-authoritarian position of the narrator for the sake of a more diffuse, decentralized style of narration, thereby working against anti-democratic tendencies.

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)0.006
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 score0.012
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.022
Scholarly communication0.0100.010
Open science0.0010.005
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0030.001

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 head0.031
GPT teacher head0.259
Teacher spread0.228 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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Same venueSeminar A Journal of Germanic StudiesSame topicFranz Kafka Literary StudiesFrench-language works237,207