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Record W2075655002 · doi:10.1017/s0032247414000758

Discovery of one of Sir John Franklin's ships

2014· article· en· W2075655002 on OpenAlexaffabout
William Barr

Bibliographic record

VenuePolar Record · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicPolar Research and Ecology
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsNavyCoast guardBayAdventureArcticOceanographyThe arcticGeographyArchaeologyHistoryGeologyArt historyEnvironmental protection

Abstract

fetched live from OpenAlex

In the summer of 2014 a major search was mounted in the Canadian Arctic for H.M.S. Erebus and Terror , the ships of Sir John Franklin's expedition, the aim of which was to make a transit of the northwest passage. Beset in the ice to the northwest of King William Island in the summer of 1846, they were abandoned there by the 105 surviving members of their crews in the summer of 1848. The officers and men hoped to walk south to the mouth of the Back River, presumably to ascend that river in the hope of reaching the nearest Hudson's Bay Company's post at Fort Resolution on Great Slave Lake. None of them survived. The 2014 expedition, the Victoria Strait Expedition, mounted by a consortium which included Parks Canada, the Canadian Coast Guard, the Canadian Navy, the Royal Canadian Geographical Society, the Arctic Research Foundation, and One Ocean Adventure, had four ships at its disposal including the Canadian Coast Guard's icebreaker Sir Wilfrid Laurier (Captain Bill Noon) and the Navy's HMCS Kingston .

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.017
GPT teacher head0.240
Teacher spread0.222 · 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 teacher head, not a consensus.

Study designObservational
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

Citations5
Published2014
Admission routes2
Has abstractyes

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