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Enregistrement W4294315026 · doi:10.1353/nin.2022.0006

The Baseball Boys of Onionville: A Personal Reflection on the Rise and Fall of Small-Town Ball in a New York Village

2022· article· en· W4294315026 sur OpenAlexvenueno aff
Jay Kimiecik

Notice bibliographique

RevueNine · 2022
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueAmerican Sports and Literature
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésLeagueFall of manHistoryBall (mathematics)Media studiesArt historyPoliticsSociologyPolitical scienceLaw

Résumé

récupéré en direct d'OpenAlex

The Baseball Boys of OnionvilleA Personal Reflection on the Rise and Fall of Small-Town Ball in a New York Village Jay Kimiecik (bio) All go to one place; all come from dust, and all return to dust. —Ecclesiastes 3:20 (Berean Study Bible) I’m seven years old and playing left field for the great Florida, New York, Legion Post 1250 team in the Orange-Ulster County Baseball League, an adult league. My team is in the midst of a long winning streak spanning a couple of summers and several championships. It’s 1965, and our opponent on a hot Sunday ball field is the Monroe Eagles. Standing in outfield grass tall enough to hide my cleatless sneakers, I’m flanked by young men (including my father, the manager) who are my heroes. In the bottom of the third inning, a fly ball finally comes my way . . . Once upon a time, small-town baseball played in the rural backdrop of America vanished without even a whimper. The vast majority of people couldn’t care less about small towns like mine that lost their baseball teams about a half century ago; they’ve moved on, and so have their children and their children’s children. For reasons I cannot fully fathom, ghosts of my town’s team haunt me. I hope that telling the story of the rise and fall of baseball in my hometown will help me exorcise these ghosts and, like most others, move on. [End Page 8] the rise of black gold onions and baseball in my hometown There is some question as to whether American baseball in the nineteenth and early twentieth centuries originated with rural farmers or city folk.1 The answer, of course, is both. John Thorn, official historian for Major League Baseball, writes, “In fact, baseball appears to have sprung up everywhere, like dandelions, and we cannot now expect to identify with certainty which of these hardy flowers was truly the first.”2 However, my impression of the writing on early American baseball is that it tends to highlight the development of the urban-professional game, leading to the misconception that rural or small-town baseball served as a by-product, rather than a cocreator, of the game’s evolution into the national pastime. In doing some research, I found that academic historians, such as David Vaught and Steven Gelber, present reasonable arguments that baseball was played on ball fields of rural towns from New York to California well before, and after, the game became “a city game for city men” in the 1840s and 1850s.3 Vaught goes as far as to write that the predilection of baseball as a city game was grounded in “urban bias” and “folly.”4 All I will say is that their stories ring true for my Village of Florida, New York, which is part of the thousands of acres that make up Orange County’s fertile Black Dirt Region that also includes other towns or hamlets such as Pine Island, Little York, Goshen, Chester, and Wawayanda. Baseball in Florida seemingly grew out of the “black gold” along with the onions that were the staple produce in the beginning. That beginning is a long story and may go as far back as 1608, when, according to some historical banter, a small group of Polish workers imported to Jamestown for their skills introduced their version of baseball, called palant, to the English colonists.5 But that’s a whole other story. Fast-forward to Florida (approximate population 2,800), situated sixty miles northwest of New York City with two stoplights and the “drowned lands” on the outskirts of town. Florida is the birthplace of William Henry Seward and home to the polka king Jimmy Sturr as well as a high school (named after Seward’s father, Samuel) that won the 1999 New York State Baseball Class D Championship. Florida (est. 1760) grew with mostly Polish immigrants (along with Irish, Germans, and Italians). Those arriving, poor and desperate for work, knew that the wet muck formed from melting glaciers centuries ago, when drained, would be rich farmland. Much of the drainage work—achieved through blood, sweat, and tears...

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)0,003
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: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,127
Score d'incertitude au seuil0,253

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,003
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0240,005
Communication savante0,0070,005
Science ouverte0,0020,009
Intégrité de la recherche0,0040,017
Charge utile insuffisante (le modèle a refusé de juger)0,0440,006

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 Opus0,027
Tête enseignante GPT0,216
Écart entre enseignants0,189 · 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

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