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Enregistrement W4237588975 · doi:10.22215/etd/2021-14481

Lest We Commemorate: Assembling Canada's Great War Centenary, 2014-2018

2021· dissertation· en· W4237588975 sur OpenAlexafffundabout
Breanna Lester

Notice bibliographique

Revuenon disponible
Typedissertation
Langueen
DomaineSocial Sciences
ThématiqueCanadian Identity and History
Établissements canadiensVeterans Affairs CanadaCarleton UniversityCanadian Council on International Law
Organismes subventionnairesMinistère de la Défense NationaleCrown-Indigenous Relations and Northern Affairs CanadaVlaamse regeringIndigenous and Northern Affairs CanadaGovernment of CanadaU.S. Department of Veterans AffairsPublic Works and Government Services CanadaCanadian Armed ForcesParks Canada
Mots-clésBureaucracyAgency (philosophy)ScholarshipCitizenshipGovernment (linguistics)Period (music)Media studiesEthnographyNationalismSociologyPolitical scienceHistoryLawArtSocial sciencePoliticsAnthropologyAesthetics

Résumé

récupéré en direct d'OpenAlex

This dissertation studies the commemorative practices of the centenary of the First World War (2014-2018).The centenary occurred within a decade-long commemorative period known as the "Road to 2017" (2010-2017) that was itself dedicated to marking the 150 th anniversary of Confederation.While participating in commemorations, particularly federally sanctioned ones, is socially and culturally constructed as an act of good citizenship, these elements have resulted in scholarship that focusses on nation, nationalism, and collective memory.In contrast, this dissertation approaches commemoration through the lens of labour and its practitioners as history workers.To do so, the dissertation applies assemblage theory and a wide range of methods to an archive of Access to Information and Privacy (ATIP) records, interviews with commemoration professionals inside and outside of government, media, and ethnographic observations.It explores how battlefields were assembled into commemorative landscapes and recognizes both the human and non-human agency involved in those processes.The dissertation then focusses acutely on the day-to-day bureaucratic work involved with designing, enacting, and managing centenary events and practices, and considers the affective nature of that labour on the people who did it.Throughout the chapters, interviews and ATIP records provide unique perspective from inside the various bureaucratic and commemorative assemblages that intersected during the First World War centenary, while ethnographic fieldwork reveals some of the hidden and unexpected elements of commemorative experiences.This dissertation argues that more scholarly attention should be paid to the practical and logistical components of commemoration.To do so means to better iii understand what makes commemorations affective, including why accessible and operating toilets can be as important as navigating the political nuances of which flags to display in what order at a centenary ceremony.An attention to practice, furthermore, also makes possible a more generous, empathetic appreciation of a group of ofteninvisible history workers who, despite often stressful working conditions, sacrificed aspects of their personal lives and wellbeing to execute the important large-scale events that comprised the Canadian centenary experience.Earning a History PhD has been a goal of mine since I was young.Though I did not know anyone with a PhD, and none of my relatives had one, I loved history and wanted to pursue it academically as far as I could go.Prior to and throughout my undergrad, I was told numerous times that a history degree would not lead me into a career, that it was a "useless degree" unless I wanted to teach (which I did not).However, my mom taught me when I was young that I could do anything I put my mind to.This is what I put my mind to, and I am proud to have accomplished it.When I made the decision to leave home at seventeen years old and start my undergraduate degree at Carleton University, I never imagined it would become my home for nine wonderful years.I would first like to thank the Department of History for nurturing my love of history and supporting my academic pursuits throughout my B.A. and PhD.To James (Jim) Opp for igniting my love of historical theory.To Yvonne Aleksandra (Alek) Bennett for the lengthy comments on my papers, for the many conversations over tea, and for encouraging me to pursue a master's degree.To the administrative staff in the Department of History, especially Joan White for the invaluable support over the years.Joan, you are an institution, and I am so grateful to have benefited from your guidance.Thank you to my committee members

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,005
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,128
Score d'incertitude au seuil0,931

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,005
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,003
Études des sciences et des technologies0,0370,010
Communication savante0,0100,002
Science ouverte0,0010,005
Intégrité de la recherche0,0010,004
Charge utile insuffisante (le modèle a refusé de juger)0,0110,001

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 Opus0,017
Tête enseignante GPT0,254
Écart entre enseignants0,237 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
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
Publié2021
Routes d'admission3
Résumé présentoui

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