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Enregistrement W4362512807 · doi:10.22215/etd/2023-15349

(Re)Producing military mythology at the Canada Army Run

2023· dissertation· en· W4362512807 sur OpenAlexaffabout
Bridgette Desjardins

Notice bibliographique

Revuenon disponible
Typedissertation
Langueen
DomaineSocial Sciences
ThématiqueSport and Mega-Event Impacts
Établissements canadiensCarleton University
Organismes subventionnairesnon disponible
Mots-clésMythologyMilitary theoryPoliticsMilitary psychologyMilitarismMilitary sciencePolitical sciencePublic relationsLawSociologyHistory

Résumé

récupéré en direct d'OpenAlex

This thesis offers a novel exploration of militarism in amateur sport, wherein civilians are participants rather than spectators, thus allowing the body to be centered when exploring reproductions of militarism.I analyze the 2019 Canada Army Run -an annual road race organized and hosted by the Canadian Armed Forces -to explore how embodied interaction with the pro-military messaging saturating the event affects participants' political orientation to the Canadian military.I draw on ethnographic data gathered while running in the 5k race and attending pre-and post-race activities, as well as 40 semi-structured qualitative interviews with race participants and three interviews with event organizers.Theoretically, I utilize Barthes' (1972) work on mythology to conceptualize the ideological significance and political affects of military myth and explore the ways myth is circulated and produced at the Army Run.The most predominant Canadian Armed Forces myths described by participants are: having a standing, armed military is necessary and inevitable; the military is moral, only using force when necessary and primarily engaging in aid work; and the military is misunderstood by most civilians and as a result is under appreciated.These myths circulate at the Army Run in myriad ways.The opportunity to build civilian-military connections via interpersonal interaction was the event's most effective tactic in generating civilian support.The race expo facilitated interaction between civilian race attendees and military servicepeople who volunteered for or participated in the races, while featuring individual deceased veterans along the racecourse encouraged participants to see the military not as a faceless institution, but rather as the sum of its parts: individual servicepeople.Army Run participation notably impacted the orientation of civilian participants who had no strong attachment to the military prior to participating.For this group, participation inspired increased political support for the military, largely as a result of developing a perceived connection to the military.Ultimately, I argue that the Canada Army Run (re)produces myths of military necessity, morality, and under appreciation via participants' embodied engagement in military themed spaces and with military members.Through physical engagement in the Army Run's militarysaturated event space and interaction with military servicepeople, participants come to feel connected to the military, and it is through this felt connection that increased support is generated and attention is shifted away from military politics and practices and toward the interpersonal.The Army Run's presentation of a depoliticized, individualized Canadian Armed Forces allows for increased public support that remains constant as it is not grounded in the reality of military action, thus enabling the proliferation of military power and investment.My journey through this doctoral degree was an odyssey of unimaginable proportion.I'm uncertain whether the global pandemic or moving to Australia disturbed my academic progress more, which, I believe, says something about the degree of chaos both changes inspired.I have many people to thank for helping me drag my poor, depleted brain to the finish line.First, thanks to my interview participants for their generosity in sharing their time and experiences with me.Without you, I'd have no data to analyse and thus no thesis to write.I very literally could not have done it without you all.But, beyond providing me with data to write about, these interviews moved me in unexpected and often challenging ways that caused me to grow not just as a scholar but also as a person.For that, I thank you all.I'd also like to thank the Social Sciences and Humanities Research Council of Canada for funding this research.Similarly, thanks to the Department of Law and Legal Studies and all the wonderful staff that keep (or kept) the department running amongst significant challenges, especially Andrew and Barb.I found it takes a village to raise a burgeoning academic to the level needed to write a successful thesis, and so I'd like to thank my academic village.To the many faculty who shaped and/or inspired me at various points over the years -Doris Buss, Jane Dickson, Stacy Douglas, Meg Gaucher, Sheryl Hamilton, Phil Kaisary, Ummni Khan, and Dawn Moore -thank you for your part in creating such a rich tapestry of scholarly thought in the Legal Studies department.Thanks also to Fiona McLachlan, Brent McDonald, Ramón Spaaij and others at Victoria University's Sport and Social Change research lab for adopting me temporarily after I'd moved to Melbourne.Most of all, thank you to my committee.My external examiners -Erica Fraser and John Kelly -gave significant food for thought as I move forward, and getting the chance to meet and learn from John, the sport militarism scholar whose work has influenced me most, was very exciting.My committee members, Christiane Wilke and Mike Christensen, were wonderful mentors as I moved along this project and I appreciate all your time and patient advice.My supervisor, Dale Spencer, has been an absolute superstar.Despite being perhaps the busiest man alive, you always gave me the guidance I needed, for the thesis and the many and varied other projects I embarked on.You've always believed in me as a scholar and cared for me as a person and I cannot express how much that has mattered to me over the last five years.I am indebted to the PhD students who

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)0,004
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 enseignants0,107
Score d'incertitude au seuil0,391

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,004
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,002
Études des sciences et des technologies0,0250,029
Communication savante0,0090,003
Science ouverte0,0020,005
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0060,000

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 Opus0,028
Tête enseignante GPT0,317
Écart entre enseignants0,290 · 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
Publié2023
Routes d'admission2
Résumé présentoui

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