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Record W3126319380 · doi:10.4324/9781315086149

The Journals of Captain James Cook on his Voyages of Discovery

2017· book· en· W3126319380 on OpenAlexaboutno aff
J. C. Beaglehole

Bibliographic record

VenueHakluyt Society eBooks · 2017
Typebook
Languageen
FieldEnvironmental Science
TopicPolar Research and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsReprintHistoryWhite (mutation)Subject (documents)Art historyOceanographyGeographyCartographyArchaeologyGenealogyArtGeologyLibrary scienceComputer science

Abstract

fetched live from OpenAlex

Captain James Cook’s first two voyages of exploration, in 1768-71 and 1772-75, had drawn the modern map of the South Pacific Ocean and had opened the door on the discovery of Antarctica. These expeditions were the subject of Volumes I and II of this edition of Cook’s Journals. The third voyage, on which Cook sailed in 1776, was directed to the Northern Hemisphere. Sailing north from Tahiti in 1778, Cook made the first recorded discovery of the Hawaiian Islands. On March 7 he sighted the Oregon coast in 44° N. The remarkable voyage which he made northward along the Canadian and Alaskan coasts and through Bering Strait to his farthest north in 70° nearly disproved the existence of a navigable passage towards the Atlantic and produced charts of impressive accuracy. Returning to Hawaii to refit, Cook met his death in a clash with the natives as tragic as it seems unnecessary. The volume and vitality of the records, both textual and graphic, for this voyage surpass those even for Cook’s second voyage. Dr Beaglehole prints the full text of Cook’s own holograph journals, followed by those of Captains Clerke and King for the course of the voyage after Cook’s death. This is a facsimile reprint of the edition published in 1967. For the print-on-demand edition, the illustrations originally in colour are reproduced in black-and-white, the fold-outs divided to fit on separate pages, and the volume itself split into two parts.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.022
Threshold uncertainty score0.830

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.279
Teacher spread0.255 · 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.

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

Citations16
Published2017
Admission routes1
Has abstractyes

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