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Enregistrement W4387397873 · doi:10.1353/nin.2023.a903325

The Line Up: Ten Books that Changed Baseball by Paul Aron (review)

2023· article· en· W4387397873 sur OpenAlexvenueno aff
Jorge Iber

Notice bibliographique

RevueNine · 2023
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueAmerican Sports and Literature
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésLegendFace (sociological concept)HistoryListing (finance)Art historyClassicsSociologySocial science

Résumé

récupéré en direct d'OpenAlex

Reviewed by: The Line Up: Ten Books that Changed Baseball by Paul Aron Jorge Iber Paul Aron. The Line Up: Ten Books that Changed Baseball. Jefferson, NC: McFarland, 2022. 237 pp. Paperback, $29.95. Paul Aron starts off his monograph with a pretty substantial claim: "Here are ten books that changed America" (1). He then proceeds to back up this admittedly audacious statement by detailing the "influence" of the selected individual works and how they helped reshaped the American social landscape. All ten works are indeed important, and Aron then proceeds to provide readers with what can be called a "runners up" listing of fifty works that could have been included in a much longer tome. Does this reviewer agree with every single book listed in the top ten and the "nearly as important" further fifty? No, but that is not really the point of this work. Aron's proposal was to select ten works on baseball that not only impacted the game but also affected the broader American society. In this regard, he is very successful in his analysis, though as he was rounding third and heading for home (in other words, on the last two books—both on Pete Rose), he stumbles halfway toward home plate, recovers, and then finishes off with a very ugly face plant with at least half of his potential readers. In other words, he makes his case for the significance of the books on the Reds' legend, but it might have been best if he had been more balanced in his analysis. The ten works selected should be relatively familiar to persons interested [End Page 133] in the history of the sport. Among these are books by A. G. Spalding, Ring Lardner, Satchel Paige, Bernard Malamud, Jim Bouton, Roger Khan, Bill James, and Glen Waggoner. The author then proceeds to provide a brief summary of each work and analyzes the impact of each upon the sport and the broader society. With these eight works Aron hits the mark. For example, the essay on Pitchin, Man: Satchel Paige's Own Story, presents an effective argument concerning the seriousness of this legendary pitcher's achievements, as well as how he dealt with Jim Crow. Given that the publication date of this work was 1948, it is hard to criticize Paige for his deflection of a direct challenge to the racism so then prevalent. Aron rightly then notes how a subsequent work by Paige was "much blunter than the first about racism" (46). Likewise, Aron is spot on with his analysis concerning the importance and impact of Jim Bouton's Ball Four: My Life and Hard Times Throwing the Knuckleball in the Big Leagues. Here, the work not only shocked MLB and its fans regarding "what really goes on" in locker rooms (and team hotels), but the reaction to the work clearly demonstrated "the nation's ideological split in the 1960s" (70). Certainly, the impact of the work went well beyond what happened on the diamond and the offices of MLB brass and reached into the very consciousness of the nation making later works, such as Out of Their League by Dave Meggysey and Juiced: Wild Times, Rampant 'Roids, Smash Hits, and How Baseball Got Big by Jose Canseco (which, by the way, is one of the books in the fifty "runners up" list at the end of the work) much more acceptable to the broader reading public. Our "heroes" were (and are) not as squeaky clean as the folks in the "gee whiz" era of sports writing had informed us. Bouton's work certainly made those of us who love not only baseball, but all sports, realize that the foibles present in many of our lives are present in the existence of those who wear MLB jerseys. So far, so good, but now here comes the (partial) face plant. Aron's discussion of the two works (by Rose with Roger Khan and the second with Rick Hill) on Pete Rose are on point. Yes, Rose is a liar, and so is Donald Trump. Both appealed to their bases—blue collar workers. However, why then go on to pontificate that only Trump has "mastered the art...

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 candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,164
Score d'incertitude au seuil0,971

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0290,000

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 Opus0,029
Tête enseignante GPT0,236
Écart entre enseignants0,207 · 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.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

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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