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Record W4254105683 · doi:10.1017/cbo9781107294530

An Arctic Voyage to Baffin's Bay and Lancaster Sound

2014· book· en· W4254105683 on OpenAlexaboutno aff
Robert Anstruther Goodsir

Bibliographic record

VenueCambridge University Press eBooks · 2014
Typebook
Languageen
FieldEnvironmental Science
TopicPolar Research and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsSound (geography)ArcticNaturalismHistoryNarrativeBrotherBayFish <Actinopterygii>The arcticOceanographyArt historyGeographyEnvironmental ethicsArtFisheryArchaeologyLawGeologyPhilosophyLiteraturePolitical science

Abstract

fetched live from OpenAlex

In 1847, Sir John Franklin and his crew perished on their Arctic expedition. The following years saw multiple attempts to discover what happened to them. First published in 1850, this short account by Robert Anstruther Goodsir (1823–95) is based on the journal he kept while serving as surgeon during an 1849 mission in search of the missing explorers. Seeking to find his brother, Harry, who was assistant surgeon and naturalist on Franklin's expedition, Goodsir vividly describes the various dangers encountered, such as ice floes, icebergs, storms and shipwrecks. Moreover, he takes note of wildlife, notably birds and fish, and records interactions with Inuit. The perspective offered by a medical man, with a keen desire to raise awareness of ongoing rescue efforts, adds further interest to the narrative. Several other works relating to the expeditions in search of Sir John Franklin have also been reissued in this series.

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: Observational · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.818
Threshold uncertainty score0.362

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.002
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0310.006

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 head0.014
GPT teacher head0.208
Teacher spread0.194 · 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 designObservational
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

Citations6
Published2014
Admission routes1
Has abstractyes

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