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COOK'S THIRD VOYAGE TO THE PACIFIC AND EARLY SCIENTIFIC ASTRONOMY ON THE NORTH-WESTERN COAST OF AMERICA: THE SOJOURN AT NOOTKA SOUND IN APRIL 1778

2020· article· en· W3049433210 on OpenAlexaboutno aff
Wayne Orchiston, William Wells

Bibliographic record

VenueJournal of Astronomical History and Heritage · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicHistory and Developments in Astronomy
Canadian institutionsnot available
Fundersnot available
KeywordsSound (geography)OceanographyGeographyHistoryGeology

Abstract

fetched live from OpenAlex

Between 1768 and 1778 England's premier maritime explorer, James Cook, made three much-published and very successful expeditions to the Pacific. Astronomy played a vital role in navigation and coastal cartography, and consequently there were astronomers on all three Pacific expeditions. On the final voyage Cook would lose his life in Hawaii, but not before exploring the north-western coast of the American continent and visiting Nootka Sound on the western shores of Vancouver Island. In this paper we review the challenge of accurately determining latitude and longitude in the eighteenth century; provide biographical information about the three astronomers on Cook's Third Voyage (Cook, King and Bayly); examine the range of astronomical instruments used during the Voyage, and the associated instrument-makers; describe the various types of astronomical observations made for latitude and longitude determinations; and review the observations that were made at Nootka Sound during the 3-week stopover of the Resolution and Discovery in April 1778.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.996
Threshold uncertainty score0.374

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.005
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.203
Teacher spread0.184 · 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

Citations3
Published2020
Admission routes1
Has abstractyes

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