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Enregistrement W2345857976

"The Nest of Tories which has Invested this Precinct": The Loyalists of Newburgh, New York

2016· article· en· W2345857976 sur OpenAlexaboutno aff
Kieran J. O’Keefe

Notice bibliographique

RevueScholarWorks -A service of University of Vermont Libraries (University of Vermont) · 2016
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiqueAmerican History and Culture
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPrecinctNest (protein structural motif)Political scienceGeographyArchaeologyBiology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

This thesis uses a case study approach to examine loyalism during the American Revolution, by considering the Loyalists of Newburgh, New York. I examine the Loyalist community by exploring its origins before the Revolution, analyzing its composition, examining the Loyalists' wartime experiences, and by considering their post-war exile. Studying Newburgh's Loyalists allows for a nuanced understanding of loyalism both in the Hudson Valley and more generally. I argue that migration, religion, wealth, and geographic location shaped Loyalist communities and their experiences. My thesis is divided into four chapters, the first of which considers the origins of the Loyalist community, which dates to religious conflict in the town during the 1750s and 1760s. Anglicans fought with dissenting Protestants over control of the church glebe, creating a division which split the community along religious lines when the American Revolutionary War began. Anglicans often became Loyalists, while the Presbyterian-led dissenters were almost entirely Patriots. In the second chapter, I examine the size and composition of the Loyalists from Newburgh. The Loyalist population of Newburgh was smaller than average in New York, but was much larger than any Loyalist community in its area. Men loyal to the King were generally Anglican, poorer than their Revolutionary counterparts, and were often related to one another. My third chapter explores the war experiences of the Loyalists, both in Newburgh and behind British lines. In Newburgh, men loyal to the King faced increasing persecution as war progressed, which intensified when there was a military threat from British forces. Persecution peaked in 1777, when the Hudson Valley faced British invasion from New York City to its south as well as from Canada in the north. Patriots in Newburgh were vigilant in rooting out Loyalist dissidents as Newburgh's sizeable Loyalist population was a military liability in case of attack. As a result of their maltreatment, many Loyalists fled to British-occupied New York City. They often joined Loyalist provincial units where they were frequently used as guides and recruiters in the countryside because they had knowledge of the area. My final chapter considers the post-war exile of Newburgh's Loyalists in Canada. Most settled in what became New Brunswick where they tried to recreate aspects of their old society by settling near former neighbors, and continuing to adhere to the Anglican Church. Many of the Loyalists, who had been poor in Newburgh, improved their social status and gained wealth in their new society. This thesis fills a historiographical gap on the subject of loyalism in the Hudson Valley, and also demonstrates the influence of migration, religion, wealth, and geographic location on Loyalist communities and the experiences of individual Loyalists.

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 candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,186
Score d'incertitude au seuil0,993

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,002
Études des sciences et des technologies0,0010,002
Communication savante0,0000,003
Science ouverte0,0020,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,019
Tête enseignante GPT0,154
Écart entre enseignants0,135 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

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
Publié2016
Routes d'admission1
Résumé présentoui

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