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Record W1571144322 · doi:10.1353/his.2015.0028

W. Waters Butler and the Making of a Progressive Brewer in Britain, 1890-1922

2015· article· fr· W1571144322 on OpenAlexvenueno aff
David W. Gutzke

Bibliographic record

VenueHistoire sociale · 2015
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicWine Industry and Tourism
Canadian institutionsnot available
Fundersnot available
KeywordsHistory

Abstract

fetched live from OpenAlex

La carrière de W. Waters Butler, de Birmingham, comme éminent brasseur, comporte deux périodes distinctes. À la fin de l’ère victorienne et au début du XX e siècle, Butler affichait le conservatisme traditionnel des brasseurs, qui se méfiaient des intentions du gouvernement et détestaient franchement collaborer avec les autorités quelles qu’elles soient. Or sa participation, à partir de 1916, au Central Control Board mis sur pied par le gouvernement l’a transformé en progressiste : il s’est tourné vers l’État, trait caractéristique essentiel des progressistes angloaméricains, pour que le marché soit bien ordonné — but recherché depuis longtemps—, et a absorbé un programme de réforme divers. De nos jours aussi ses attitudes sont l’exemple de l’homme d’affaires en tant que réformateur progressiste : Butler, en effet, était plus intéressé à supprimer l’ivrognerie qu’à maximiser les ventes de bière de son entreprise; l’estime du public avait à ses yeux plus d’importance que l’ampleur des profits de son entreprise; quant à son souci de restaurer la respectabilité des pubs, il témoignait de l’émergence d’une conscience sociale prononcée. En présentant clairement une vision de la société dans laquelle tous partagent la responsabilité de boire de façon modérée, disciplinée et ordonnée, Butler en est venu à constituer le parfait exemple de l’homme d’affaires progressiste.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.359
Threshold uncertainty score0.714

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.010
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0180.002

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 head0.021
GPT teacher head0.231
Teacher spread0.210 · 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
Published2015
Admission routes1
Has abstractyes

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