Schistosoma haematobium bilharziasis during overwintering in Adelie land: Health and operational risk in Antarctica
Bibliographic record
Abstract
While serving from December 1970 to January 1972 as a medical doctor of the 21st French Polar Expedition in Adelie Land, Antarctica, at Dumont d’Urville Station, the author diagnosed Schistosoma haematobiumurinary bilharziasis in a winterer who suffered from pain in the right iliac fossa, at the beginning of the overwintering. The patient had participated in a bush investigation in West Africa, but, despite his complaints, the illness had not been diagnosed prior to the Antarctic expedition. Microscopic examination revealed Schistosoma haematobium eggs in the urine centrifugation deposit. In the absence of anti-bilharziasis medication, the patient was treated symptomatically with urinary antiseptic or antibiotic, hemostatic and antihistamine medications to palliate the egg deposition in the bladder wall and the subsequent induction of inflammatory reactions. Nine months later, a US Navy plane landed on the continent in the vicinity of the French Station and delivered the specific parasiticidal niridazole tablets. The patient received three niridazole tablets per day during one week. He returned to Paris in March 1972. Exploratory medical tests did not reveal any bladder or urinary tract alteration. He never since complained of any related problem. Recommendations are provided to avoid personal and / or operational risks due to such tropical infectious diseases during Antarctic expeditions
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".