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Enregistrement W4392525247 · doi:10.1353/ijsr.2023.a916623

Passion Plays: How Religion Shaped Sports in North America by Randall Balmer (review)

2023· article· en· W4392525247 sur OpenAlexaboutno aff
Jeremy Sabella

Notice bibliographique

RevueInternational journal of sport and religion · 2023
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueSports, Gender, and Society
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPassionBalmer seriesArtGender studiesSociologyAestheticsPsychologySocial psychologyPhysicsAstronomy

Résumé

récupéré en direct d'OpenAlex

Reviewed by: Passion Plays: How Religion Shaped Sports in North America by Randall Balmer Jeremy Sabella Passion Plays: How Religion Shaped Sports in North America. By Randall Balmer. Chapel Hill, N.C.: Univ. of North Carolina Press, 2022. Pp. x + 177. $25. This lucid survey examines how religious leaders, institutions, and ideas shaped the four major North American spectator sports of baseball, [End Page 81] football, basketball, and hockey. Over the course of 140 crisply-written pages, Balmer synthesizes American religious history and sports scholarship to offer a concise and engaging narrative that traces how religion and sports interweave in North America. Balmer opens by describing the sheer—one might say religious—intensity and focus with which sports fans dissect the minutiae of a given game over talk radio. This reflects how "the real locus of popular devotion in North America has shifted from the sanctuary to the stadium" (3). Tracing this shift reveals how the four major sports have come to function as both mirror and catalyst: they reveal entrenched problems in North American society even as they help spur change. Chapter one examines the game historically most closely associated with America: baseball. As with organized religion, its origins are murkier than popular belief suggests. Abner Doubleday did not invent baseball in 1839, although organized baseball did emerge in the 1840s (22). By the turn of the century, the sport had become entrenched in American culture and lore. It proved especially popular in industrial areas, where the outfield grass brought rural green to dingy urban outposts and gave factory workers respite from the tyranny of the clock (23–24). This provides historical context for the argument of David Chidester and others that in American culture, it is baseball that creates sacred space and marks sacred time. Furthermore, minoritized groups such as Native Americans, Blacks, Jews, Italians, and Latin Americans used baseball to contest their place in the American experiment, in part because a game where even the most sublimely gifted players only get a hit a third of the time captured the experience of claiming space in a hostile social context (28–29). Where baseball dramatizes the immigrant experience, football dramatizes war. Chapter two examines how early variants of the game spread during the Civil War as Union soldiers taught it to Confederates. When Alabama beat the Washington Huskies in the 1926 Rose Bowl, an Atlanta paper described it as the "greatest victory for the South since the first battle of Bull Run" (54). Football also became a proxy for religious conflict: immigrant communities that contended with anti-Catholicism took pride in Notre Dame football beating Protestants at their own game (55–56). The game's tactical evolution parallels the battlefield. The run-heavy style of play that predominated in the early twentieth century mimicked trench warfare in World War I. The passing element to the game developed alongside [End Page 82] the aerial attacks of World War II. As warfare became more highly specialized and strategically complex in the late twentieth and early twenty-first centuries, so did football (69). Although the game's boosters argued that it inculcates Muscular Christian virtues such as perseverance, teamwork, and trust, it also reveals America's unsettling fixation with violence. Serious injury and even death were disturbingly common in the game's early days (67). Balmer also recounts lethal examples of racism. For instance, Greg Page, who desegregated the Southeastern Conference when he took the practice field for Kentucky in 1967, died from injuries sustained from white teammates piling on him during a drill (60). Over time football has helped Americans work through conflicts based in region, religion, and race (49). But at what brutal cost? As legendary NFL quarterback Troy Aikman notes, "the violence of the sport attracts us to the game" (68). "If there is any town east of, say, Ontario that does not claim to be the birthplace of ice hockey," Balmer quips in chapter three, "I should like to know about it" (77). Hockey grew out of First Nations game of lacrosse, taking organized form in the 1870s (78). The game helps cultivate the grit, toughness and resilience that surviving the long, harsh Canadian winter requires: hence...

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)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut 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: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,011
Score d'incertitude au seuil0,037

Scores du classifieur distillé par catégorie (deux têtes)

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

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 Opus0,015
Tête enseignante GPT0,290
Écart entre enseignants0,275 · 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'étudeSans objet
Domainenon disponible
GenreSynthèse

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'admission1
Résumé présentoui

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