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Record W2606142408 · doi:10.23907/2016.001

A Brief History of the Literature on Postmortem Changes to the 19th Century

2016· review· en· W2606142408 on OpenAlexaff
Christopher M. Milroy

Bibliographic record

VenueAcademic Forensic Pathology · 2016
Typereview
Languageen
FieldMedicine
TopicAutopsy Techniques and Outcomes
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsTrial by ordealSuperstitionIgnorancePutrefactionLate 19th centuryHistoryMythologyForensic scienceLiteratureMedicinePhilosophyClassicsLawArtPeriod (music)ArchaeologyEpistemologyAestheticsPolitical science

Abstract

fetched live from OpenAlex

The fact that the body changes following death must have been known for the whole history of mankind. But myth and superstition surrounded the changes. This led to such entities as the ordeal of the bier being used as criminal proof, even though other forms of trial by ordeal had long been abandoned. The scientific literature in the English language did not start until the late 18th century and was still surrounded with ignorance and some superstition. The main concern of the early writers was the correct determination of death. In the 19th century, an understanding of postmortem changes developed and the first attempts to accurately classify sequences of putrefaction were made. This paper analyzes the early forensic medicine writing and the progress of knowledge to the later 19th century, through examination of forensic medicine textbooks published in the English language.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0080.008
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.002

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.

Opus teacher head0.037
GPT teacher head0.327
Teacher spread0.290 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations4
Published2016
Admission routes1
Has abstractyes

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