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Quelques témoignages médicaux antiques sur l’usage du sel et la santé

2017· book-chapter· fr· W2775688593 on OpenAlexaff
Anne-France Morand

Bibliographic record

VenuePresses universitaires du Septentrion eBooks · 2017
Typebook-chapter
Languagefr
FieldHealth Professions
TopicTherapeutic Uses of Natural Elements
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Résumé : Pour les Anciens, le sel est fondamental dans l’alimentation et la conservation des denrées. « Sans sel, par Hercule, on ne peut mener de vie civilisée » nous dit Pline l’Ancien (Pline l’Ancien, Histoire Naturelle 31, 41 (88)). Il n’est ainsi pas étonnant que cette substance, qui fait l’objet de nombreux récits et apophtegmes, entre dans des préparations médicales. Le but de cet article est de comprendre ce que médecins et pharmacologues ont à dire du sel par rapport à la santé, en déterminant la place de cette substance dans les théories sur la médecine et les remèdes. Ainsi, le choix de placer le sel parmi les remèdes issus de la mer ou parmi les minéraux n’est pas indifférent. La place du sel dans le système de « chimie » antique est également révélatrice. Usages médicinaux, croyances et substances apparentées sont aussi des sujets étroitement associés au thème de l’article.

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)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.014
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.005
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0140.003

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 head0.035
GPT teacher head0.349
Teacher spread0.314 · 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".

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Citations2
Published2017
Admission routes1
Has abstractyes

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