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Record W1993148196 · doi:10.3138/md.53.2.244

Making a Whore of Freedom: Büchner's Marion Episode

2010· article· en· W1993148196 on OpenAlexvenueno aff
Matthew Buckley

Bibliographic record

VenueModern Drama · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicGerman Literature and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsModernityAllegoryLiteratureLiminalityArchetypeIdiotArtPoliticsDramaPornographyPhilosophyHistoryAestheticsPsychoanalysisLawEpistemology

Abstract

fetched live from OpenAlex

No moment in Georg Büchner's drama has been assigned more significance as a marker of his radical modernity than the “Marion episode.” Apparently unprecedented in form and content, this brief, enigmatic exchange between a prostitute and the protagonist of Dantons Tod [Danton's Death] is taken as the archetype of Büchner's jagged, proto-montage aesthetic, as the first example of his proto-psychological focus on the close rendering of sensation, and as the foundational statement of what is taken to be his proto-nihilist repudiation of history. This essay suggests that such impressions are mistaken. It reveals the Marion episode to be a tightly constructed allegory of French Revolutionary history, and one that takes as its precedent and pretence the most widely known work of pre-Revolutionary pornography in Europe, the once-forbidden Thérèse philosophe [Thérèse the Philosopher]. Linking the pornographic to the political, mirroring each in the other, the Marion episode, it suggests, does not use eroticism to break with history so much as to illuminate it, figuring the Revolution as a process shaped and driven by a libertine structure of desire that its violence exhausts and destroys. Rather than marking out Büchner as a proleptic modernist, the “Marion episode,” it concludes, places him firmly, with Baudelaire, in second-generation modernity, registering the emergence of the modern from the destructive violence of the past.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.931
Threshold uncertainty score0.868

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.024
GPT teacher head0.241
Teacher spread0.217 · 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 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
Published2010
Admission routes1
Has abstractyes

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