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Foreword

2023· book-chapter· en· W4386956367 on OpenAlexaboutno aff
Kenneth C. Nystrom

Bibliographic record

VenueUniversity Press of Florida eBooks · 2023
Typebook-chapter
Languageen
FieldArts and Humanities
TopicHistory of Medicine Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBioarchaeologyHistoryGenealogyGeographyClassicsArchaeology

Abstract

fetched live from OpenAlex

Extract The manner in which biological anthropology approaches the analysis of anatomized skeletal remains—remains that exhibit evidence of medical intervention such as autopsies, dissections, and amputations—has changed significantly. Over the last decade, there has been a proliferation of reports and publications discussing skeletal remains recovered from historic contexts that exhibit evidence of medical intervention, with over a dozen journal articles and book chapters as well as two full length edited volumes. Examples have been reported on and discussed from Great Britain, Poland, France, Western Europe, Canada, and the US. This research can generally be placed into two, often overlapping, approaches; viewing the remains through the lens of medical history or social bioarchaeology. Many of the earliest publications on anatomized remains were principally descriptive (e.g., Angel et al. 1987; Molleson and Cox 1993) or focused more exclusively on how this type of evidence informs medical history (Henderson et al. 1996; Hillson et al. 1998; Mann et al. 1991; Owsley 1991, 1995; Valentin 1995; Waldron and Rogers 1988; Wesolowsky 1991). At this point in time, most of the examples that had been recovered were isolated, with only one or two individuals within a larger skeletal collection exhibiting such evidence. Therefore, the description and discussion of such evidence often only occupied a small portion of the report. For instance, Angel et al. (1987) provide only a brief note about a craniotomy observed in the skeletal collection recovered from the First African Baptist Church in Philadelphia. Such remains were rarities and while providing a unique glimpse into the development of medical training, authors were largely not considering the remains in their broader sociopolitical context.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.818
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 studies0.0000.001
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 head0.056
GPT teacher head0.182
Teacher spread0.126 · 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 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
Published2023
Admission routes1
Has abstractyes

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