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Record W3176500383 · doi:10.1093/jahist/jaab084

Thunder Go North: The Hunt for Sir Francis Drake's Fair and Good Bay

2021· article· en· W3176500383 on OpenAlexaff
Coll Thrush

Bibliographic record

VenueJournal of American History · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicArchaeology and Natural History
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsThunderCoveBayGlobeIndigenousHistoryPoliticsArchaeologyOceanographyGeographyLawGeologyMeteorologyPolitical science

Abstract

fetched live from OpenAlex

“This book is a necessary reckoning,” writes Melissa Darby (p. 7). Certainly, Francis Drake's circumnavigation of the globe, the backdrop for Darby's work, has long fascinated and confounded historians. One oft-debated aspect of the journey centers on how far north along the western coast of North America Drake and his crew traveled. Widespread consensus is that Drake's “fair and good bay,” where the English encountered Indigenous people as they repaired the Golden Hinde, was near San Francisco. Darby disagrees. According to her research, the true location was what is now called Whale Cove, on the Oregon coast. The first part of Thunder Go North focuses largely on a retelling of the Drake voyage, including detailed analysis of the sparse and often-contradictory archive associated with the journey. Usually fragmentary, at times vague, and often occulted by political intrigue, the original sources lead Darby to conclude that the more northern site...

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.086
Threshold uncertainty score0.171

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 studies0.0140.006
Scholarly communication0.0060.008
Open science0.0010.003
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0210.004

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 head0.016
GPT teacher head0.264
Teacher spread0.248 · 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
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

Citations0
Published2021
Admission routes1
Has abstractyes

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