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Record W4243571025 · doi:10.1017/cbo9781107476936

Narrative of a Voyage to Hudson's Bay in His Majesty's Ship <i>Rosamond</i>

2014· book· en· W4243571025 on OpenAlexaboutno aff
Edward Chappell

Bibliographic record

VenueCambridge University Press eBooks · 2014
Typebook
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsMajestyHistoryNarrativeBayParadeGeographyArtArt historyArchaeologyLiterature

Abstract

fetched live from OpenAlex

Following distinguished naval service during the Napoleonic Wars, Edward Chappell (1792–1861) took part in two voyages patrolling British fisheries in North America. The second of these, in 1814, is recounted in this journal, first published in 1817. Illustrated with several engravings, Chappell's narrative dwells in particular upon the Inuit, who were little understood by Europeans at the time. Knowing only a few Inuit words, Chappell traded with them and was admitted to their homes. Though somewhat superficial and patronising, his descriptions revised previous accounts and brought new information to English readers. The rest of the journal brims with evocative anecdotes from the journey - a polar bear sighting, a thunderstorm on an ice-ridden sea, a meeting with a renowned Native American chieftain. The appendices provide such additional information as navigational data, details of Inuit dress, and a short vocabulary of the Cree language.

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)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.930
Threshold uncertainty score0.140

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0110.005
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0110.002

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 head0.029
GPT teacher head0.280
Teacher spread0.251 · 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
Published2014
Admission routes1
Has abstractyes

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