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Record W4390090330 · doi:10.3138/seminar.59.4.1

„Die Wirklichkeit ist die Unwahrscheinlichkeit, die eingetreten ist“: Wahrscheinlichkeit, Wirklichkeit und Wahrheit im Werk Friedrich Dürrenmatts

2023· article· en· W4390090330 on OpenAlexvenueno aff
D. M. Adams

Bibliographic record

VenueSeminar A Journal of Germanic Studies · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicGerman Literature and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRepresentation (politics)PhilosophyDramaEpistemologyPerceptionSociologyArt historyTheologyAestheticsLiteratureArtLaw

Abstract

fetched live from OpenAlex

This paper examines the role of probability in the thought and work of the Swiss writer Friedrich Dürrenmatt (1921–1990), focusing on his definition of reality as the improbability which occurred. I argue that this expression encapsulates his lifelong critical investigation of the possibilities and limitations of the representation of the modern world. The polyvalent concept of probability serves Dürrenmatt in his essays, drama, and prose fiction to illuminate the irreducible complexity of reality, the inevitable constraints of human perception, and the futility of seeking to reconstruct empirical causality end-to-end. The concept of reality as an improbability which occurred defines both the empirical reality which Dürrenmatt seeks to analyze through his fiction, as well as the subjective reality he creates within his “fictional worlds,” thus forming a crucial conjunction between his worldview and his literary work.

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)0.001
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: Other · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.018
Scholarly communication0.0030.004
Open science0.0000.002
Research integrity0.0010.001
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 head0.047
GPT teacher head0.309
Teacher spread0.261 · 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
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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