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Why Ross Survived When Franklin Died: Arctic Explorers and the Inuit, 1829–1848

2020· article· en· W3108531423 on OpenAlexaboutno aff
Nicholas Bayne

Bibliographic record

VenueLondon Journal of Canadian Studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArcticDesert (philosophy)The arcticFur tradeArchaeologyGeographyHistoryGovernment (linguistics)EthnologyOceanographyPolitical scienceEconomic historyLawGeology

Abstract

fetched live from OpenAlex

The Franklin expedition disappeared in the High Arctic in the 1840s, looking for the North-West Passage. After a long search, contacts with local Inuit revealed they had all perished. Could the Inuit have saved Franklin’s crews? The experience of John and James Ross is instructive. A decade earlier they led a smaller party to an Arctic region near where Franklin’s crews landed. They made friends with an Inuit community and learnt useful skills in clothing, diet, shelter and transport. This enabled them to survive four Arctic winters and come home safely. But the Franklin expedition was poorly placed to benefit from Inuit contact. They were too numerous and had no interpreters. Trapped in the ice, they did not seek out Inuit villages. Leaving the ships, they turned towards a desert region and abandoned useful equipment. The wrecks of Erebus and Terror were only discovered in 2014 and 2016, again thanks to Inuit guidance. Britain has transferred the wrecks and their contents to Canada. They will be jointly held by the government and the Inuit ­people, whose ­contribution to the Franklin story is finally being recognized.

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)0.002
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 score0.384
Threshold uncertainty score0.773

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0210.006
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.064
GPT teacher head0.298
Teacher spread0.235 · 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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