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Shaw, George Bernard (1856–1950)

2018· book-chapter· en· W4250079072 on OpenAlexaff
Lawrence Switzky

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldMedicine
TopicLiterature Analysis and Criticism
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDramaGeorge (robot)IrishProtestantismSeriousnessGreenwichLiteratureArtArt historyHistorySociologyLawReligious studiesPhilosophyPolitical science

Abstract

fetched live from OpenAlex

George Bernard Shaw was an Irish playwright, music and drama critic, and political theorist who pioneered the play of ideas as a dramatic genre, was instrumental in the formation of the Labour Party in England, and remains the only person to have won both the Nobel Prize for Literature (1925) and an Academy Award (1938, Best Adapted Screenplay, Pygmalion). The intellectual and social seriousness of his ideas, his effusive, literary dialogue, and his invention of new genres such as the discussion play were pivotal contributions to the modernization of drama. Born into a Protestant family in Dublin, Shaw moved to London in 1876 and began ghost-writing a music column for The Hornet while also pursuing an unpromising career as a novelist and becoming involved with the Fabian Society, a British socialist organization that promoted a gradualist rather than revolutionary approach to social reform. In The Quintessence of Ibsenism, initially delivered to the Fabians as a lecture in 1891, Shaw articulated his nascent dramaturgical principles. He argued that Ibsen’s most important contribution to the development of modern drama was replacing the violent catastrophes of melodrama with discussion scenes in which characters sat down and talked about intractable social problems. Shaw’s views about modern drama were put into practice in his first three plays: Widowers’ Houses (1892), about slum landlordism, The Philanderer (1893), about divorce, and Mrs. Warren’s Profession (1893), about prostitution.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.258
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0590.006

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 head0.015
GPT teacher head0.258
Teacher spread0.242 · 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; both teacher heads agree on what is shown here.

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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