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Record W3209869866 · doi:10.4000/books.efr.23613

New testimonies to Diseases of Women I-II

2021· book-chapter· en· W3209869866 on OpenAlexaff
Paul Edwin Potter

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldMedicine
TopicSex and Gender in Healthcare
Canadian institutionsWestern University
Fundersnot available
KeywordsHistoryMedicine

Abstract

fetched live from OpenAlex

Two of the three independent Greek witnesses to the Hippocratic text of Diseases of Women I-II give evidence of scholarly interventions in late antiquity and/or the middle ages aimed at providing readers with an orientation to the treatises’ contents, and explanations of difficult words and passages. Marcianus Venetus Graecus 269 (middle of the tenth century) provides a unique first hand marginal numbering system in majuscules to the 61 and 57 chapters respectively of the two works, as well as majuscule chapter and other headings within its minuscule text; Vindobonensis Medicus Graecus IV (middle of the eleventh century) contains over two-hundred and fifty first hand majuscule marginal glosses and subject headings present in no other source. By studying the language and content of the original additions made in each of the two manuscripts, the author of this paper attempts to locate the scholiasts’ interventions in time, and to gain some insight into their motives and methods.

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)0.003
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0020.001
Open science0.0000.003
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.058
GPT teacher head0.321
Teacher spread0.263 · 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
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
Published2021
Admission routes1
Has abstractyes

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