Order and Emotion: The Rhetoric of Disgust in Peter the Venerable's Adversus Iudaeos
Notice bibliographique
Résumé
This thesis examines the definition of religious orthodoxy promulgated byPeter the Venerable in the Adversus Iudaeos, a twelfth-century anti-Judaic polemic.Scholars have thus far categorized this polemic as a typical and traditional guidebook designed to aid monks in the refutation of Jews using scripture, logical argumentation, and an engagement with post-biblical Jewish holy text (and in this case, the Talmud).Despite this categorization, scholars have neglected to discuss the role of emotions in categorizing Judaism.I argue that Peter uses the emotional rhetoric of disgust to alter the traditional polemical purpose ascribed to it.When Peter compares Jews to "useless vomit", he suggests that a Jewish way of thinking is filthy and worthy of disgust.These acts allow Peter the ability to unify and define his own version of Christian thought, and contrast it with the framework of thinking adopted by his rival monastic group, the Cistercians.There is probably no possible way I could every repay all the amazing people that made this thesis what it is today.Some four years ago, I was a simple teachers college graduate with only a fool's dream to come and make my mark on graduate level learning.Yet here I stand today with thesis in hand and a much deeper appreciation for the all those that supported me and pushed me to never settle for anything less than my best.This thesis is dedicated to my family, who always loved me unconditionally and instilled in me the value of education.This past year was fraught with change and yet Mom, Dad, and Stephen were constantly there to help out in any way they could.Thank you.This thesis is dedicated to Marc Saurette, who went above and beyond the role of a supervisor on countless occasions.The amount of interruptions and headaches I caused this man are staggering, yet Marc was always patient and supportive with me and he often knew just what to say.It was an honor and a privilege to be his student, and I would like to say that I did him proud.This thesis is also dedicated to my friends, both old and new.They made me feel like family, and stepped up when I needed them most.For all those sofa talks and office banter that lasted way longer than it should have, I thank you.To that end, this section would like to thank in particular Nick Courchesne, Thomas Marlatt, Mike Novacaska Rob Blades, Brad Wiebe, Adam Lake, and Emily Cuggy.aswell as the entire 2016 graduating class.These people truly made my masters degree memorable.I would also like to dedicate this thesis to Mélanie Bédard, because she never stopped believing in me.Regardless of what happens, I know that I am fortunate to have her as a supporter.And finally, I would like to dedicate this thesis to Joan White and all the faculty members that made my academic journey so memorable.Their tireless work in order to improve the student experience is nothing short of exceptional, and I believe that I am leaving Carleton in the best possible hands going forward.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,005 | 0,013 |
| Communication savante | 0,005 | 0,003 |
| Science ouverte | 0,000 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».