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The fist in the fistula

2002· book-chapter· en· W4388389142 on OpenAlexaboutno aff
Walter Gratzer

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldArts and Humanities
TopicMedical History and Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsShot (pellet)AmateurHistoryWitnessMedicineLawArchaeologyPolitical science

Abstract

fetched live from OpenAlex

Abstract It was a strange accident that gave an alert amateur physiologist access for the first time to the digestive processes in the human stomach. William Beaumont was an American military surgeon in the first half of the nineteenth century. He was the product of the prevailing system of training, when aspiring doctors qualified not by going to medical school but by serving an apprenticeship in the private practice of a physician or surgeon. While in post as surgeon at a fort in a remote fastness in Michigan, Beaumont was summoned one evening to tend the victim of an accident in a nearby fur trading post. Alexis St Martin, a young Canadian from the far north, had been hit by a shot-gun blast at close range and was lying unconscious in a pool of blood when Beaumont arrived. Wadding, shot, and fragments of clothing had penetrated his ribcage and stomach, creating a hole through which a man’s fist could pass. To general astonishment the victim did not die, but because he was not strong enough to work, the authorities at the trading post, unwilling to support an invalid, resolved to send him home to Canada. Beaumont doubted whether St Martin would survive the journey of 2,000 miles, and so took him in, ‘nursed him, fed him, clothed him, lodged him and furnished him with every comfort, and dressed his wounds daily and for the most part twice a day’.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.530
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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0500.001

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 head0.081
GPT teacher head0.212
Teacher spread0.130 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2002
Admission routes1
Has abstractyes

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