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Record W4367296503 · doi:10.5325/jmorahist.23.1.0001

Jens Haven (1724–1796) and Captain James Cook (1728–1779) in Newfoundland

2023· article· en· W4367296503 on OpenAlexaffabout
Hans Rollmann

Bibliographic record

VenueJournal of Moravian History · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsHavenPeninsulaContext (archaeology)Safe havenGovernorHistoryExtant taxonGenealogyGeographyAncient historyArchaeologyEngineering

Abstract

fetched live from OpenAlex

ABSTRACT Jens Haven, a former missionary to Green-land, established contact with Inuit from Labrador in 1764. Governor Palliser of Newfoundland saw in Haven’s missionary efforts an opportunity to improve the hitherto hostile relations between the English and Inuit. On his exploration journey, Haven met Captain James Cook near Quirpon on Newfoundland’s Great Northern Peninsula and stayed on his ship. Governor Palliser’s recommendation of Jens Haven to English naval officers in Newfoundland and Labrador provides the context for Haven’s dealings with Captain James Cook. Haven sought to demonstrate throughout the journey his British loyalty. He also found confirmation for an ethnic kinship between Inuit in Labrador and Greenland. The missionary’s relations with Captain Cook are explored here fully by considering all extant archival materials available for the trip, including the German records that he kept from British authorities as well as a later reflection about the trip in 1784.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.261

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0150.004
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.001

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 head0.245
Teacher spread0.221 · 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
Published2023
Admission routes2
Has abstractyes

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