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Record W2593200758 · doi:10.14430/arctic4629

A Critical Assessment of the Oral Condition of the Crew of the Franklin Expedition + Supplementary Appendix 1 (See Article Tools)

2017· article· en· W2593200758 on OpenAlexafffundvenueabout
Russell S. Taichman, Tom Gross, Mark MacEachern

Bibliographic record

VenueARCTIC · 2017
Typearticle
Languageen
FieldMedicine
TopicAdrenal Hormones and Disorders
Canadian institutionsGovernment of Northwest Territories
FundersSultan Qaboos UniversityMystic Seaport MuseumTrent UniversityRhode Island CollegeSmithsonian Institution
KeywordsScurvyCrewHistoryPelicanMedicineArcticArchaeologyOceanography

Abstract

fetched live from OpenAlex

Little is known about the fate of the crew of the Franklin expedition after they sailed from England in 1845. Scant physical evidence and limited Inuit testimony have fueled speculation that the crew had scurvy, had been poisoned by lead, or had botulism or tuberculosis. The Schwatka expedition (1878 – 80) documented that several Inuit families had observed sailors of the Franklin expedition dragging ship’s boats in Washington Bay on the southwest coast of King William Island, Nunavut, Canada. The Inuit reported that the men appeared thin and the mouths of some of them were hard, dry, and black. Many Franklin scholars believe from this description that the surviving crews were suffering from scurvy and possibly lead poisoning. Using a systematic review of the medical literature to assess the Inuit testimony, we reviewed 1718 citations. With this approach, we identified a new and plausible explanation for the wasting and oral conditions ascribed to some of the survivors. We believe that miliary tuberculosis resulting in adrenal insufficiency (or Addison’s disease) may have resulted in the oral and physical symptoms witnessed by the Inuit. Scurvy and lead exposure may have contributed to the pathogenesis of Addison’s disease, but the hypothesis is not wholly dependent on these conditions. The tuberculosis-Addison’s hypothesis results in a deeper understanding of one of the greatest mysteries of Arctic exploration.

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 score0.061
Threshold uncertainty score1.000

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)0.0010.000

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 head0.028
GPT teacher head0.358
Teacher spread0.329 · 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

Citations8
Published2017
Admission routes4
Has abstractyes

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