MétaCan
Menu
Back to cohort
Record W4313365522 · doi:10.1111/glal.12369

WHAT IS RADICAL? BÜCHNER AND BRECHT READ LENZ

2022· article· en· W4313365522 on OpenAlexaff
Veronica Rose Curran

Bibliographic record

VenueGerman Life and Letters · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicGerman Literature and Culture Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDepictionLiteratureStyle (visual arts)PhilosophyNarrativeGermanArtLinguistics

Abstract

fetched live from OpenAlex

ABSTRACT This article asks why the radical authors Georg Büchner (1813–37) and Bertolt Brecht (1898–1956) were particularly interested in the life and works of Jakob Michael Reinhold Lenz (1751–92). The enquiry proceeds by reading Lenz's theoretical and literary works, such as his treatise Anmerkungen übers Theater (1774) and his plays Die Soldaten (1776) and Der Hofmeister (1774), through the later authors’ various writings. This article particularly focuses on all three authors’ use and analysis of observational writing for a radical, social purpose. It begins with a discussion of Lenz's stance on the imitation of nature in his writings on the theatre and how this affects his social commentary through realistic social depiction. This is followed by an examination of Büchner's use of Lenz's writings, particularly in the ‘Kunstgespräch’ section of the narrative fragment Lenz and in his play Woyzeck (1836), and then by Brecht's theoretical writing on the ‘realistic style’ (‘realistische Schreibweise’) in the history of German dramaturgy and his new approach in the adaptation of Der Hofmeister. The article concludes that Lenz's realistic style was taken up by his successors but that, especially in his depiction of and commentary on individuality, it maintains unique value in itself.

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)0.002
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: none
Teacher disagreement score0.009
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.024
Scholarly communication0.0090.006
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.015
GPT teacher head0.218
Teacher spread0.204 · 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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueGerman Life and LettersSame topicGerman Literature and Culture StudiesFrench-language works237,207