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Record W2783318984 · doi:10.1080/00026980.2017.1398855

The Chemical Club: An Early Nineteenth-Century Scientific Dining Club

2017· article· en· W2783318984 on OpenAlexaboutno aff
Andrew Lacey

Bibliographic record

VenueAmbix · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Science and Natural History
Canadian institutionsnot available
FundersArts and Humanities Research CouncilUniversity of Chicago
KeywordsClubContext (archaeology)Quarter (Canadian coin)Art historyHistory of sciencePeriod (music)HistoryArtClassicsPhilosophyEpistemologyAestheticsArchaeologyMedicine

Abstract

fetched live from OpenAlex

The Chemical Club (fl. 1806-1828) was a small scientific dining club in London. Among its members were Sir Humphry Davy, William Hyde Wollaston, and Alexander Marcet. Other accomplished men of science, including John Dalton, Jöns Jacob Berzelius, and Augustin Pyramus de Candolle, also attended its meetings as guests. This article, drawing on the unpublished papers of Lionel Felix Gilbert, as well as a range of contemporary sources in print and manuscript, presents the first substantial history of the Chemical Club, and situates it in the context of the scientific and social networks of the period. It aims to enrich our understanding of the scientific culture of the early nineteenth century in Britain by tracing the Club's influence on, or connection to, some of the most pioneering and transformative scientific work of the first quarter of the 1800s, such as the discovery of nitrogen trichloride, the invention of the miners' safety lamp, and Hans Christian Ørsted's work on electromagnetism.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.985
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0150.011
Scholarly communication0.0060.002
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0210.002

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 head0.039
GPT teacher head0.251
Teacher spread0.211 · 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.

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

Citations2
Published2017
Admission routes1
Has abstractyes

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