Bibliographic record
Abstract
In 1845 the Franklin expedition left London with 2 ships and 134 men on board in an attempt to find the route through the Northwest Passage. The ships were built with state-of-the-art technology for their day, but provisioned with supplies from the lowest bidder. After taking on fresh provisions in the Whalefish Islands, off the coast of Greenland, the entire crew was never heard from again. Graves found on remote Beechey Island indicate that three able-bodied seamen died during the first winter. A note written on a ship's log, later found in a cairn, indicate that the expedition's leader, Sir John Franklin, died during the second winter entrapped on the ice, by which time 24 men had also perished. The remaining crew failed in their attempt to walk out of the Arctic by an overland route. In 1981 Owen Beattie, from the University of Alberta, exhumed the remains of the sailors from the three graves on Beechey Island. Elevated lead levels were found in all three sailors. While lead poisoning has been a leading theory of the cause of the crew's deaths, blamed on the crudely tinned provisions the ships carried with them from England, chronic lead exposure may only have weakened the crew, not necessarily killed them. One of three exhumed sailors also had in his intestine the spores of an unspecified Clostridium species. The theory put forth by this article is that Botulism, type E, which is endemic in the Arctic, may have been responsible for their deaths.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".