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Enregistrement W4252091235 · doi:10.1093/obo/9780195399301-0186

Medicine

2013· reference-entry· en· W4252091235 sur OpenAlexvenueno aff
Alisha Rankin

Notice bibliographique

RevueRenaissance and Reformation · 2013
Typereference-entry
Langueen
DomaineArts and Humanities
ThématiqueHistory of Medicine Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésApothecaries' systemScrutinyAlchemyHumanismVernacularClassicsThe RenaissanceEliteHistoryNatural philosophyMedicineTraditional medicineLiteratureArtArt historyLawPolitical sciencePhilosophy

Résumé

récupéré en direct d'OpenAlex

Medicine in Renaissance and Reformation Europe was a study in both continuity and change. Overall, the medical landscape was a complex web that incorporated both elite university medicine and a wide-ranging array of vernacular healing traditions, all of which competed with and influenced each other. By the early 16th century, broader trends in Renaissance culture, particularly humanism, had begun to affect university-based medical learning. The humanist scrutiny of classical texts helped lead to a number of changes, including some attempts to amend the knowledge of the ancients; a gradual increase in the perceived value of empirical investigations of the natural world; and the founding of new faculties of anatomy and botany at many universities. At the same time, classical authors such as Galen, Hippocrates, and Aristotle as well as medieval Arabic writers such as Avicenna remained important authorities through the 17th century. This environment produced the likes of Andreas Vesalius, Conrad Gessner, and William Harvey, all of whom combined a mixture of old ideas and new advancements. Meanwhile, an entirely new medical theory based on alchemical principles, led most prominently by the Swiss doctor Paracelsus, presented a challenge to Galenic learned medicine from outside the universities and became particularly popular at the princely courts of Europe. Throughout the period, however, university-trained physicians represented only a small proportion of healers. Far more populous were surgeons, barbers, apothecaries, midwives, and a wide variety of unlicensed healers. Although physicians increasingly attempted to bring the licensing of other practitioners under their control, the broader healing landscape remained essentially unchanged. Patients had a wide variety of healers to choose from, and healers had diverse approaches. Religious and magical forms of healing remained inexorably intertwined with naturalistic remedies, and this balance remained unchanged after the Protestant Reformation, despite changing ideas toward appropriate forms of religious healing. In many cases, the household remained the first recourse in times of illness, and women healers provided important functions in many areas of medicine. At the same time, the rapid urbanization that took place in the Renaissance led to an increased need for public health measures as well as poor relief. Individuals and towns struggled with recurrent bouts of epidemic disease throughout the time period, both acute diseases such as plague and chronic ailments like the French Disease. The latter was believed to come from the New World and represented one of the many effects that the discovery of the new continent had on medicine. An interest in finding new medicinal plants meant that medicine played an active role in commerce, global trade, and colonialism, while a rise in literacy and the invention of the printing press helped increase access to texts, both printed and manuscript. This combination of dynamic change and traditional healing structures makes the Renaissance and Reformation a complex and fascinating epoch in the history of medicine.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,170
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,041
Tête enseignante GPT0,246
Écart entre enseignants0,205 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2013
Routes d'admission1
Résumé présentoui

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