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Mallarmé, Stéphane (Étienne) (1842–1898)

2018· book-chapter· en· W4243595832 on OpenAlexaff
Emile De Rosnay

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldArts and Humanities
TopicFrench Literature and Poetry
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsSisterPoetryCharacter (mathematics)Modernism (music)ArtLiteratureCriticismPhilosophyArt historySociology

Abstract

fetched live from OpenAlex

Along with Arthur Rimbaud and Paul Verlaine, Stéphane Mallarmé is a preeminent poet of the latter part of the nineteenth century, notably as the head of Symbolism (with Verlaine). Like many of his generation, Mallarmé built upon Charles Baudelaire’s, Théophile Gautier’s and Edgar Allan Poe’s contributions to poetry and criticism, and anticipated the various Modernist and avant-garde movements to come, being a key voice of modernism. Mallarmé is mostly known for his very difficult, hermetic language, for his conceptualization of a "crisis of verse" (crise de vers), and for his innovations in versification and free verse. Étienne Mallarmé, commonly known as Stéphane, was born in Paris to Numa Mallarmé, a government administrator, and Élisabeth Desmolins, who died when Stéphane was five, after which point Stéphane came, along with his sister Maria, under the tutelage of his grandfather. His father remarried Anne-Hubertine Léonide Mathieu, who had three girls and a son. Mallarmé’s performance at school was mediocre, and his teachers at Passy reproached him for his "rebellious and vain character"; he was subsequently expelled in 1855. His first poems date from 1854. He was deeply affected by the death of his sister in 1857, as testified in some early prose ("Ce que disaient les trois cigognes," "Plainte d’automne").

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)0.000
metaresearch head score (Gemma)0.001
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: Other
Teacher disagreement score0.018
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0160.006

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 head0.028
GPT teacher head0.194
Teacher spread0.166 · 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
Published2018
Admission routes1
Has abstractyes

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Same topicFrench Literature and PoetryFrench-language works237,207