MétaCan
Menu
Retour à la cohorte
Enregistrement W4294315071 · doi:10.1353/nin.2022.0015

Before Brooklyn: The Unsung Heroes Who Helped Break Baseball’s Color Barrier by Ted Reinstein

2022· article· en· W4294315071 sur OpenAlexvenueno aff
Chad Wise

Notice bibliographique

RevueNine · 2022
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueAmerican Sports and Literature
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésLeagueWhite (mutation)Spanish Civil WarArt historyHistoryColor lineArtLawPolitical scienceRacism

Résumé

récupéré en direct d'OpenAlex

Reviewed by: Before Brooklyn: The Unsung Heroes Who Helped Break Baseball’s Color Barrier by Ted Reinstein Chad Wise Ted Reinstein. Before Brooklyn: The Unsung Heroes Who Helped Break Baseball’s Color Barrier. Guilford, CT: Lyons Press, 2021. 254 pp. Cloth, $29.95. The year 2022 marks seventy-five years since Jackie Robinson broke the color barrier and played Major League Baseball (MLB) for the Brooklyn Dodgers. Today, on April 15 of each season, professional players and coaches wear Robinson’s famous jersey, number 42. No other major league ballplayer will ever wear the number 42 again. The story is as American as apple pie. However, in Ted Reinstein’s book Before Brooklyn: The Unsung Heroes Who Helped Break Baseball’s Color Barrier, readers learn that, despite Robinson’s heroic (and dangerous) act, the color barrier had already been broken nearly thirty-five years before Robinson was even born. Throughout the book, Reinstein shares story after story of baseball players who had everything going for them, except their skin color. As far back as the Civil War, Union prisoners of war were taught to play baseball by their southern counterparts in camps, but Black soldiers could not participate. A Black person could fight and die for the war cause but couldn’t play third base on a “white” field. Fast-forward to the Jim Crow era, and things were not much better for Black baseball players, or for Blacks in general. Making a farce out of the “separate but equal” doctrine, according to Reinstein, “an Ohio Wesleyan player was refused a room at the team’s hotel. The team’s white manager asked for, and received, special permission to allow the catcher to sleep on a cot in his room. So long as the relationship of master and servant was obvious” (49). Reinstein shares accounts of the era, when teams sent letters threatening violence to opposing teams if a Black player even showed up to the field, let alone played. From 1915 to 1960, the Great Migration caused a seismic shift in populations in the US. Rampant racism, a deepening hopelessness of segregation, and the lack of economic opportunities moved African Americans to cities such as Chicago, Detroit, Cleveland, Philadelphia, and New York. Reinstein shares [End Page 117] that the Great Migration played an important role in the development of baseball in the northern states: “More than five million American Blacks uprooted from the South and moved northward” (55). The burgeoning Black “metropolis” of the Northeast and Midwest facilitated the establishment of separate hospitals, banks, self-help organizations, publications, and businesses, most notably the continued expansion and development of “black baseball” (55). It was clear that African American players would not get a fair opportunity to play on or against white teams. Luckily, a man named Andrew “Rube” Foster had a plan to bring African American players together. As a former player, manager, and now entrepreneur, Foster proposed a new league in the early stages of the Great Migration. His famous quote—“We are the ship, all else the sea” (58)—was a rallying cry for the beginning of a new league, the Negro National League. When looking at important cities in America during the Great Migration, Pittsburgh stands out among so many others. Its location brought people together coming from the northern and eastern parts of the South. Pittsburgh offered educational opportunities for African Americans, including integrated public schools. In addition, sport became something that began bringing the African American community together. No sport brought people together in the 1930s like baseball. Even the local newspapers got involved in the hoopla surrounding baseball in Pittsburgh. Many believe that if newspapers such as the Pittsburgh Courier hadn’t reported on the teams and players, “few people would even know about Black baseball” (86). Two players stood out while playing in Pittsburgh and are considered pioneers of baseball: Josh Gibson and Satchel Paige. Their numbers could be considered “video game numbers” by today’s standards. But what if the hometown major league team, the Pirates, were to add an arm, glove, and bat from Gibson or Paige to their lineup? History can only speculate how these additions might have played out...

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)0,000
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: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,132
Score d'incertitude au seuil0,441

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0030,001
Communication savante0,0030,003
Science ouverte0,0010,002
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,1320,062

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 Opus0,006
Tête enseignante GPT0,184
Écart entre enseignants0,178 · 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
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
Publié2022
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueNineMême sujetAmerican Sports and LiteratureTravaux en français237 207