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Record W2913102486 · doi:10.3138/seminar.55.1.001

Duality, Duel, Diplomacy: Aesthetics and Politics of Mediation in Arthur Schnitzler’s <i>Der Weg ins Freie</i>

2019· article· en· W2913102486 on OpenAlexvenueno aff
Doreen Densky

Bibliographic record

VenueSeminar A Journal of Germanic Studies · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicGerman Literature and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativePoliticsLiteratureDiplomacyRepresentation (politics)NegotiationAestheticsIdeologySociologyArtPhilosophyPolitical scienceLaw

Abstract

fetched live from OpenAlex

The rise of anti-Semitism in conjunction with probing the possibilities of literary narratives makes literature itself a site of negotiation in late imperial Austria. This article reads Arthur Schnitzler’s first novel, Der Weg ins Freie ( The Road into the Open, 1908), as a text that shows authorial restraint by foregrounding constellations of duality, duels, and their diplomatic mediation, which fail frequently. In doing so, the essay outlines Schnitzler’s opposition to his contemporary Theodor Herzl’s stronger attempts at executing narrative authority. Three main configurations in Schnitzler’s novel are discussed: constellations between genres and opinions, between representation in art and politics ( Darstellen and Vertreten), and between voicing and silencing. At stake, therefore, are the narrative strategies employed in the production, representation, and reception of modern literature in times of crisis.

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)0.004
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: none
Teacher disagreement score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0090.059
Scholarly communication0.0120.007
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.274
Teacher spread0.252 · 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
Published2019
Admission routes1
Has abstractyes

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