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Record W2578064573 · doi:10.3138/md.0812

Looking After the Drainage: Health, Marketing, and the Turkish Bath in Bernard Shaw’s <i>Misalliance</i>

2017· article· en· W2578064573 on OpenAlexvenueno aff
Christopher Wixson

Bibliographic record

VenueModern Drama · 2017
Typearticle
Languageen
FieldMedicine
TopicLiterature Analysis and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsCommodificationEthosTurkishComedyProfit motiveTheme parkProfit (economics)AdvertisingArtPolitical scienceMedia studiesSociologyBusinessEconomicsLiteratureEconomyLawMarket economyPhilosophyTourism

Abstract

fetched live from OpenAlex

Bernard Shaw often inveighed against the infusion of an entrepreneurial ethos into health care and expounded at length about the detrimental effects of the profit motive in medicine. The booming late-Victorian proprietary-cure industry was especially irksome, its wares relentlessly advertised with virtually no oversight or regulation. Created in the wake of a sensational public government inquiry into mass marketing, Shaw’s comedy Misalliance dovetails its critique of middle-class pretension with an assault on the commodification of health. The unusual portable Turkish bath unit that occupies the centre of its stage picture resonates provocatively against the backdrop of the advent of modern British marketing and Edwardian anxiety over national fitness, and for the playwright it is an object of both critique and emulation.

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)0.003
metaresearch head score (Gemma)0.005
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 score0.017
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.043
Scholarly communication0.0120.007
Open science0.0010.003
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0030.001

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 head0.008
GPT teacher head0.273
Teacher spread0.264 · 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
Published2017
Admission routes1
Has abstractyes

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