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Record W2913192054 · doi:10.3138/seminar.55.1.002

Situating the Self in Historical Narratives: “Narrative” and “Larval” Subjects in Uwe Timm’s <i>Am Beispiel meines Bruders</i> and Christoph Hein’s <i>Landnahme</i>

2019· article· en· W2913192054 on OpenAlexvenueno aff
Necia Chronister

Bibliographic record

VenueSeminar A Journal of Germanic Studies · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicNarrative Theory and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeSituatedSelfConstruct (python library)Identity (music)Subject (documents)Order (exchange)GermanLiteratureMode (computer interface)HistoryPhilosophyEpistemologyAestheticsArtLinguisticsComputer science

Abstract

fetched live from OpenAlex

This essay examines the ways in which two contemporary German texts, Uwe Timm’s Am Beispiel meines Bruders and Christoph Hein’s Landnahme, situate silent characters at the centre of world-historical events of the twentieth century. These novels employ multi-perspectival and relational modes of narration to foreground the collaborative effort of narrating such central characters and thus the histories they represent. To investigate these silent characters and the relational mode of narration employed to construct them, I turn to two complementary theories of the self. The first is Paul Ricoeur’s concept of narrative identity, which conjectures that we each employ the “I” to synthesize the events of a lifetime into narrative form in order to conceive of something called the self that is stable and distinct from others. The second is Gilles Deleuze’s concept of the larval subject, which posits that the self is not something essential but, rather, metamorphic, unfixed, and always undergoing a process of becoming through encounters with difference. I argue that these opposing concepts of the self—the Ricoeurian narrative self that seeks synthesis of its various parts and the Deleuzian larval self that resists synthesis and foregrounds difference—help us understand the function of these protagonists who are situated as the empty, unknowable centres around which the events, narrators, and other characters of the novels are organized, as well as the collaborative mode of narration employed by these novels to treat the events of the twentieth century.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.043
Threshold uncertainty score0.681

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.250
Teacher spread0.232 · 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.

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
Published2019
Admission routes1
Has abstractyes

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