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Record W2054037198 · doi:10.3138/md.53.1.039

Blasphemy in John Osborne's <i>A Subject of Scandal and Concern</i> and <i>Luther</i>

2010· article· en· W2054037198 on OpenAlexvenueno aff
Jonathan Bolton

Bibliographic record

VenueModern Drama · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicBangladesh Politics, Society, and Development
Canadian institutionsnot available
Fundersnot available
KeywordsBlasphemySilenceSubject (documents)Context (archaeology)ConvictionLawPoliticsReligious studiesHistorySociologyPolitical sciencePsychoanalysisPhilosophyPsychologyAesthetics

Abstract

fetched live from OpenAlex

John Osborne's early plays, A Subject of Scandal and Concern and Luther, emerged out of the author's anti-nuclear activism and his anger regarding the role of Britain's political leaders in the escalation of Cold-War tensions that led to the Berlin Crisis of 1961. An effort to examine and redefine blasphemy in personal terms led Osborne to dramatize the trials of two historical figures – George Holyoake and Luther – whose conscientious objections against orthodox belief led to their being put on trial for blasphemy. These plays suggest that Osborne came to view blasphemy as a form of hurtful speech (blasphemia) used by Church and State to silence and punish those who speak out conscientiously against orthodox religious belief. The manner in which Osborne dramatizes the unhappy domestic lives of Holyoake and Luther, read in the context of the playwright's own troubled relationships, suggests that he recognized that the crime of blasphemy also resulted when personal conviction or conscientious action brought suffering upon friends and family. Despite electing to dramatize historical cases of blasphemy, Osborne wanted his audiences to recognize that both the charge and offence of blasphemy and submission to orthodox viewpoints had very dangerous consequences in the Cold-War era.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.588
Threshold uncertainty score0.997

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.274
Teacher spread0.257 · 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 designQualitative
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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