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Expedition and Experiment

2023· book-chapter· en· W4388959106 on OpenAlexaboutno aff
Edward J. Gillin

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicAustralian Indigenous Culture and History
Canadian institutionsnot available
Fundersnot available
KeywordsCrewGeographyHistoryArt historyArchaeologyOceanographyEngineeringOperations researchManagementGeology

Abstract

fetched live from OpenAlex

Abstract This chapter examines how, between 1841 and 1843, Edward Sabine and Robert Were Fox collaborated to transform the British Magnetic Scheme into a truly global scientific experiment. Specifically, they worked to turn the collection of magnetic data from around the world into a system of synchronized measurement. This took place through a series of new expeditions, building on the success of James Clark Ross’s 1839–43 Antarctic voyage. Yet the results from this were mixed. While voyages to the Caribbean and Americas went well, the 1841 Niger Expedition was a disaster, with tropical disease ravishing the crew and forcing the venture’s speedy termination. Likewise, Henry Lefroy’s attempt to use Fox dipping needles to measure magnetic phenomena overland, across Canada, showed the limitations of this instrument. Throughout these trials, Fox busied himself in Falmouth, working to regulate and improve his dipping needles. For all that Fox and Sabine conceived of the British Magnetic Scheme as a systematized scientific project, such work on a global scale was, as this chapter demonstrates, immensely capricious.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.079
Threshold uncertainty score0.264

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0790.011

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 head0.068
GPT teacher head0.305
Teacher spread0.236 · 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
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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Same topicAustralian Indigenous Culture and HistoryFrench-language works237,207