MétaCan
Menu
Retour à la cohorte
Enregistrement W4255136729 · doi:10.1353/nin.2020.0022

The Baseball Bat: From Trees to the Major Leagues, 19th Century to Today by Stephen M. Bratkovich

2020· article· en· W4255136729 sur OpenAlexvenueno aff
Jennifer J. Asenas, Kevin A. Johnson

Notice bibliographique

RevueNine · 2020
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueAmerican Sports and Literature
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésLeaguePopularityForesterArt historyHistoryArtGeographyLawPolitical science

Résumé

récupéré en direct d'OpenAlex

Reviewed by: The Baseball Bat: From Trees to the Major Leagues, 19th Century to Today by Stephen M. Bratkovich Jennifer J. Asenas and Kevin A. Johnson Stephen M. Bratkovich. The Baseball Bat: From Trees to the Major Leagues, 19th Century to Today. Jefferson, NC: McFarland, 2020. 198 pp. Paperback, $29.95. In The Baseball Bat, trained forester and wood enthusiast Stephen Bratkovich conducts extensive research into bat manufacturing. He visits several manufacturers who "opened their doors and welcomed 'the rookie' with open arms. Private tours, photographs, answers to endless questions," and provided review and feedback to the book chapter drafts (v). The book is primarily "focused on wooden baseball bats and the trees that produce them" (3). [End Page 215] Chapter one traces the wood bat to historical games that involved striking objects with sticks. Although thought to exist as far back as 2400 BC, pinpointing the exact origin of the game we call "baseball" today is complicated. As Bratkovich notes, "bat and ball games played by youngsters have likely been around as long as we've had youngsters. Whether these games were played with a simple stick, small limb, or merely a hand as the 'bat' is open to argument" (6). This chapter delves into the twists and turns of the historical narratives that have evolved concerning the popularity of wood bats in ball and stick games. Chapter two traces the evolution of bat design and material preferences. Bratkovich identifies one consistent truth: "Though baseball and its people have changed, the use of wood to make bats has not. In fact, at the highest level of baseball the object used to strike the ball is fashioned from a tree" (14). Players have used wood bats made from several different kinds of trees including sycamore, cherry, spruce, chestnut, poplar, basswood, willow, ash, maple, pine, and hickory. Chapter three examines the history of companies that used these types of wood to make bats. The chapter discusses economic forces in the bat industry through an investigation of companies like Hillerich & Bradsby (known famously for the Louisville Slugger), Spalding, Wright & Ditson, and A. J. Reach Company. Chapter four traces the evolution of bat makers after World War II from the larger companies to the boutique. The chapter examines the impact of the aluminum bat on the market of wood bats. For example, with the rise of aluminum bat companies like Worth and Easton, "Hillerich & Bradsby's wooden bat sales dropped almost overnight from seven million to one million per year" (51). The market forced Louisville Slugger into the metal bat market because the MLB market that required wooden bats was not enough to sustain the company. In chapter five, Bratkovich makes a turn to study player preferences and the wood itself. He explaines, "It's important to remember that wood comes from trees … Wood evolved as a functional tissue of plants and not to satisfy MLB or the players who swing the objects known as bats" (58). Regardless of the type of wood, the perfect bat is hard to define. Bratkovich draws on former MLB player Scott Podsednik's statement in the New York Times: "'You can't describe it—it's a feel. When you pick it up and take a couple of swings with [End Page 216] it, you just know.' When this occurs with players, as Podsednik described, all information and scientific data about wood properties and features are out the door" (71). Whatever bat the player chooses, they will always be prone to breakage. Chapter six examines much of the scientific data and processes that are in place to protect players from broken bats. In explaining that the goal is to reduce bat breakage, he notes, "Wooden bats will always break due to poor wood quality, prolonged bat use, incorrect contact with the ball, pitch speed, and other reasons too numerous to name" (84). Chapters seven and eight discuss forests and the threat of pests to the trees in those forests. Tailoring the analysis of forests to each wood type, Bratkovich provides many details that play into the construction of a high-quality wood bat. For example, "The best white ash baseball-bat trees grow on the north...

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 enseignants0,317
Score d'incertitude au seuil0,967

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)0,0330,000

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 Opus0,010
Tête enseignante GPT0,192
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 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
Publié2020
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueNineMême sujetAmerican Sports and LiteratureTravaux en français237 207