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Enregistrement W175519946

Triple Play: Personal Reviews, Op-Ed Pieces, and Polemics from outside the Purview of the Umpires

2006· article· en· W175519946 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

venuePublié dans une revue dont le pays d'attache est le Canada.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

RevueNine · 2006
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueAmerican Sports and Literature
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésLeagueFantasySpellThe ImaginaryAction (physics)nobodySimple (philosophy)Visual artsPsychologyAestheticsAdvertisingMedia studiesArtComputer scienceSociologyPsychoanalysisLiteratureEpistemologyComputer securityPhilosophyBusiness
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Leagues of Their Own Why would anybody spend long hours hunched over a flat surface, tracking the progress of imaginary baseball games? No simple answer may suffice, but since practitioners by the tens of thousands--some of them famous--have engaged in this unlikely pastime, it probably can't be dismissed as sheer insanity. Long before today's fantasy leagues--which entail gambling far more than fantasy--kids of all ages fell under the spell of commercially manufactured tabletop baseball games. These were combinations of boards, dice, cards, and spinners used to simulate contests among actual Major League players. Equally important, the simulations allowed mixing and matching from diverse eras: 1927 Yanks vs. the Big Red Machine? Koufax vs. Cobb? Mathewson vs. Pujols? No problem. Create customized leagues? A cinch. To onlookers, the action might appear to be on the tabletop, but in fact, it unfolded vividly in game players' imaginations. The first of these games appeared in the early 1940s as Ethan Allen's (later Cadaco) All-Star Baseball, a simple affair with player disks that fit over a spinner. The disks were calibrated according to the player's lifetime stats. Where the arrow of the spinner came to rest indicated the play result. Naturally the space for a home run on Babe Ruth's disk was wider than on any other. A decade later brought Strat-O-Matic and its main competitor, the American Professional Baseball Association (APBA). These relatively sophisticated simulations used dice and player cards and charts to replicate not only the batting prowess of big leaguers but also the pitching and fielding tendencies. Game players handled all managerial duties, such as selecting lineups, dictating offensive and defensive tactics, and keeping statistics afterward if they wished. Those tabulations, computerized now, were long, hands-on labors of love. Over time these games took on enormous cult popularity. Leagues formed across the country. Each fall, champion APBA teams and their managers met in a World Series tournament; each February, APBA fanatics braved snowstorms to line up outside the company's factory in Lancaster, Pennsylvania, to receive the latest cards. Writer-editor Daniel Okrent (who as an adult would invent Rotisserie League Baseball) recalls the wait for a new season's Strat-O-Matic cards as agonizing. To the uninitiated, he concedes, the codified cards might have looked like hieroglyphics; but to the young Okrent, they were as thrilling as an epic poem. From my first roll of the dice, I was hooked, says Jon Miller, San Francisco Giants and ESPN broadcaster, in Confessions of a Baseball Purist. After spending long months replaying the entire 1966 National League schedule with his Strat-O-Matic game, Miller proceeded to make up his own league with franchises in Hudson Bay, Rome, London, and even Machu Picchu. By then, presaging his future profession, he'd taken to announcing games--even imitating background sounds: PA system announcers, vendors' cries, infield chatter, and rousing stadium cheers. Miller's father, passing by his closed bedroom door, feared the boy was having a heart attack. Partly because his mother grew tired of stepping over him on the floor, Joe Torre, former All-Star catcher and current Yankees manager, played APBA in the basement of his boyhood pal, Johnny Parascandola. The pair established a league and kept stats. We spent hours upon hours down there, including a good chunk of our winters, Torre says in his memoir, Chasing the Dream. Even then I enjoyed the decision-making involved in managing. Now, many years since his playing days, Torre still sometimes receives his own APBA card with an autograph request. Whenever I see one, he says, it's like opening an old photo album. Torre stayed cool in tight APBA games--but not his buddy Johnny, who might upend the table if he lost. Once Johnny stuck a pitcher's card under a running faucet, yelling I'm sending you to the showers! …

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.

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: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,454
Score d'incertitude au seuil0,994

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)0,0070,000

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 Opus0,014
Tête enseignante GPT0,206
Écart entre enseignants0,192 · 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