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Enregistrement W2900704715 · doi:10.1353/nin.2016.0023

City of Dreams: Dodger Stadium and the Birth of Modern Los Angeles by Jerald Podair

2016· article· en· W2900704715 sur OpenAlexvenueno aff
Andy McCue

Notice bibliographique

RevueNine · 2016
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueAmerican Sports and Literature
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésStadiumVisionMiamiLeagueRedevelopmentHistorySociologyArchaeologyArt historyEngineeringCivil engineering

Résumé

récupéré en direct d'OpenAlex

Reviewed by: City of Dreams: Dodger Stadium and the Birth of Modern Los Angeles by Jerald Podair Andy McCue Jerald Podair. City of Dreams: Dodger Stadium and the Birth of Modern Los Angeles. Princeton, NJ: Princeton University Press, 2017. 366 pp. Cloth, $32.95. Jerald Podair’s City of Dreams: Dodger Stadium and the Birth of Modern Los Angeles offers even more than its spacious title promises. True, at its core it’s about moving a baseball team and building a stadium. But, Podair goes further, tying Walter O’Malley’s desire to build his own stadium with a clash of visions by major elements in the city of Los Angeles. One faction had a vision of Los Angeles as more than a regional city blessed with [End Page 216] the movie and aerospace industries. The other, rooted in immigrants from the American Midwest, saw it as a replica of the small towns they’d left, but with better weather and more opportunities. O’Malley would ally with the former group as their vision showed a willingness to invest in attracting a major league team and helping build a stadium for it. Podair also expands his analysis of the divergent visions to examine the redevelopment of the Bunker Hill neighborhood just south of the stadium site. Bunker Hill, once an enclave of Los Angeles’ richest, had become a nest of rundown housing in old mansions. For those with visions of Los Angeles as an international city, it was an obvious area for new cultural institutions. Others wanted to save the neighborhood, or at least provide decent housing for the poor who would be ousted from the area. Here also, the internationalists won and the Dorothy Chandler Pavilion, the Music Center and the Disney Theater now crown the hill. But Podair is not merely concerned with the elites. He unravels the story of the destruction of the Chavez Ravine community. He notes how it was destroyed by liberal proponents of public housing, and then abandoned after a counterattack by real estate interests. He also notes how the photogenic eviction of an extended Mexican-American family and the televised destruction of their houses created the impression that the Dodgers were the force behind the destruction of the community. He then deals with how that image was absorbed into the consciousness of the Chicano movement and eventually assimilated into what became a strong fan base in that community. He has an excellent section on the “culture” of Dodger Stadium’s crowds, its multiethnic character and the veneer of unity it provides the city. These are all good facets of City of Dreams, but Podair is at his strongest when he’s dealing with the construction of the stadium and the political and cultural battles that led to its approval. In this way, City of Dreams is an update of Neil Sullivan’s The Dodgers Move West (1987). Sullivan was primarily interested in the different ways New York City and Los Angeles had interpreted the public purpose clause for disposing of property. Podair is more interested in how the skirmishes over the stadium contributed to Los Angeles’ emergence as a less insular community. The biggest advantage Podair has over Sullivan is the access the O’Malley family gave him to personal and team archives. As far as I know, Podair is only the second researcher to be given such access and he makes excellent use of it, mining memoranda on the conduct of interactions with the city, or strategy in court cases, or changes in stadium design. We are left with a more nuanced portrait of the strategies and options that presented themselves to O’Malley and the decisions he made within those options. Walter O’Malley’s [End Page 217] private thoughts on what should be done and how to do it provide a fuller picture than this process has had previously. Podair also isn’t afraid to turn his scholarship into policy recommendations, arguing that O’Malley’s willingness to pay for his own ballpark is a model for what cities should be encouraging. Los Angeles city and county provided funds for infrastructure improvements around the stadium, but O’Malley paid for...

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)0,003
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 enseignants0,063
Score d'incertitude au seuil0,209

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0040,002
Communication savante0,0050,005
Science ouverte0,0010,004
Intégrité de la recherche0,0020,006
Charge utile insuffisante (le modèle a refusé de juger)0,0630,020

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 Opus0,008
Tête enseignante GPT0,191
Écart entre enseignants0,183 · 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
Publié2016
Routes d'admission1
Résumé présentoui

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