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Record W2001742429 · doi:10.1017/s0269889708001828

Navigation and Newsprint: Advertising Longitude Schemes in the Public Sphere ca. 1715

2008· article· en· W2001742429 on OpenAlexaff
Jeffrey R. Wigelsworth

Bibliographic record

VenueScience in Context · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Science and Natural History
Canadian institutionsRoyal College of Physicians and Surgeons of CanadaMount Royal University
Fundersnot available
KeywordsLongitudeScrutinyPublic sphereAdvertisingArgument (complex analysis)CommoditizationSeekersGeographyHistorySociologyPolitical scienceLawGeodesyBusinessLatitudeEconomicsPolitics

Abstract

fetched live from OpenAlex

Argument This article examines advertisements for potential solutions to the problem of longitude during the year following the announcement of the maximum £20,000 reward in the summer of 1714. While there have been many studies of the race to determine longitude, advertisements have not received close scrutiny. Little attention has been paid to the commoditization of longitude in the marketplace of public science sold within London's public sphere. Although books and lecture series dominated public science in eighteenth-century England, longitude ads are a unique example of this phenomenon. Unlike lecturers or publishers of natural philosophical tracts who sought audiences for demonstrations or readers for books which contained accounts of nature that were not open to debate, longitude seekers were doing something different. Those who attempted to solve the problem of longitude and advertised their plans to the public sought out witnesses to validate and confirm the effectiveness of their experiments or instruments. In other words, the public sphere became the crucible of judgment for schemes of longitude.

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)0.004
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 score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0050.003
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0250.004

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 head0.046
GPT teacher head0.250
Teacher spread0.205 · 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".

Quick stats

Citations5
Published2008
Admission routes1
Has abstractyes

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