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Record W2952471652 · doi:10.1017/s0007087419000220

An experimental community: the East India Company in London, 1600–1800

2019· article· en· W2952471652 on OpenAlexaff
Anna Winterbottom

Bibliographic record

VenueThe British Journal for the History of Science · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsApothecaries' systemHuman settlementCapital (architecture)Period (music)Natural (archaeology)HistorySociologyEconomic historyPolitical scienceLawAncient historyArchaeologyArt

Abstract

fetched live from OpenAlex

The early East India Company (EIC) had a profound effect on London, filling the British capital with new things, ideas and people; altering its streets; and introducing exotic plants and animals. Company commodities - from saltpetre to tea to opium - were natural products and the EIC sought throughout the period to understand how to produce and control them. In doing so, the company amassed information, designed experiments and drew on the expertise of people in the settlements and of individuals and institutions in London. Frequent collaborators in London included the Royal Society and the Society of Apothecaries. Seeking success in the settlements and patronage in London, company servants amassed large amounts of data concerning natural objects and artificial practices. Throughout the seventeenth and eighteenth centuries, company scholars and their supporters in London sought to counter critiques of the EIC by demonstrating the utility to the nation of the objects and ideas they brought home. The EIC transformed itself several times between 1600 and 1800. Nonetheless, throughout the seventeenth and eighteenth centuries, its knowledge culture was characterized by reliance on informal networks that linked the settlements with one another and with London.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.664
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.057
GPT teacher head0.246
Teacher spread0.189 · 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.

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

Citations6
Published2019
Admission routes1
Has abstractyes

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