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Record W42082919 · doi:10.1177/007327531305100203

Governing Model Populations: Queries, Quantification, and William Petty's “Scale of Salubrity”

2013· article· en· W42082919 on OpenAlexaff
Ted McCormick

Bibliographic record

VenueHistory of Science · 2013
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsConcordia University
Fundersnot available
KeywordsScale (ratio)HistoryGeographyCartography

Abstract

fetched live from OpenAlex

INTRODUCTIONThe proliferation of scientific questionnaires in the later seventeenth century has long been recognized as an important clue to links between European expansion and transformations in the production of scientific knowledge. As travel - for commercial, political, religious or other purposes - became increasingly common within and beyond Europe, queries for travellers bore witness to the shifting methods and aspirations of natural history, as the pursuit of exotic curios gave way to the systematic collection of empirical data that might ground deeper and broader comparisons between different regions of the globe.2 The emergence of natural -historical questionnaires has also been connected to the early stirrings of recognizably social -scientific efforts, which long depended on analogous forms of collaborative data collection through the epistolary exchange of local observations.3 Preeminent among such efforts was the articulation from around 1660 onward of a 'political arithmetic' employing precise, quantitative demographic and economic observations; yet the role of such quantification in early scientific queries for travellers has attracted little examination. A comparison of various late-seventeenth-century questionnaires with a set of queries from the archive of political arithmetic's inventor suggests that while quantitative questions appeared haphazardly in interrogatories aimed at producing volumes of descriptive, empirical natural history, their systematic deployment in a 'political -arithmetical' questionnaire was linked to the potential for very specific types of data to facilitate future colonial settlement and projections of state power in unfamiliar locales. Here, political arithmetic's sustained use of quantification, displacing more familiar qualitative concerns, played a crucial role in adapting the cosmopolitan methods of natural history to the service of the imperial state. Perhaps more surprisingly, thinking about how this adaptation could be applied depended less on envisioning new bureaucratic machinery for the secular state than on reconfiguring the established church as both a scientific and a governmental agency.When one thinks of scientific travel and European overseas expansion in the early modern period, William Petty 's (1623-87) is not the first name to come to mind. Perhaps it ought to be: his of 1 650s Ireland, a multi-year project that sent thousands of ordinary soldiers ranging across the recently conquered country as surveyors, directed by a series of printed instructions and forms, can surely be considered one of the most ambitious and effective collaborative scientific projects of the early modern period.4 Yet Petty 's intellectual reputation rests chiefly on his later creation of political arithmetic, generally understood as an early form of quantitative economic, demographic or social analysis - more specifically, an endeavour to justify political decisions or legitimate political projects by reference to quantitative data relating to population, social divisions, and economic activity. However closely connected this may have been to his activities in Baconian natural philosophy or his training in medicine, this was a thinner sort of science than the early anthropology, ethnology or natural history more frequently linked to early modern scientific travel, dealing less in rich and marvellous relations than in mundane enumerations.5 After medical studies in the Low Countries and France in the 1640s, and work for the Cromwellian regime in Ireland, Petty's Restoration itinerary consisted almost entirely of shuttling between London and various improvement projects on his Irish estates.6 Influenced by the scientific circle around Samuel Hartlib and by his own survey, he may have planned a natural history of Ireland to supplement or surpass the work of fellow Hartlibians Arnold and Gerard Boate, but it never appeared (though he did eventually release an atlas based on Down Survey maps). …

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)0.029
metaresearch head score (Gemma)0.116
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.997
Threshold uncertainty score0.152

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0290.116
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0030.038
Scholarly communication0.0080.019
Open science0.0030.007
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0090.001

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 head0.079
GPT teacher head0.222
Teacher spread0.143 · 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 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".

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Citations5
Published2013
Admission routes1
Has abstractyes

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