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Enregistrement W3131160832 · doi:10.1353/nin.2019.0018

Positive Presage: Baseball’s Arrival Signaled Better Days Were Ahead

2019· article· en· W3131160832 sur OpenAlex
Greg Ford

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 · 2019
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueAmerican Sports and Literature
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésLeagueCONTESTWhite (mutation)HistorySisterFootballPsychologyAdvertisingLawPolitical science

Résumé

récupéré en direct d'OpenAlex

Positive PresageBaseball’s Arrival Signaled Better Days Were Ahead Greg Ford (bio) Baseball was never my favorite sport growing up; I was a football fan. However, our national pastime has been part of my life, provided many memorable moments, and always served as an omen of better days ahead. I can still remember the first three Major League Baseball games I ever attended. The first came in July 1968, when my sister took myself and our mother to watch the Washington Senators—now the Texas Rangers—host the Chicago White Sox. What little I recall consists of the White Sox hitting homer after homer off Senator pitching, and when I recently found the box score from that contest, I discovered I had a something of a good memory. The truth is the White Sox hit only two homers that evening, one in the first inning by Luis Aparicio and another in the second by Duane Josephson. However, it was enough to propel them to a 4–2 win. The Senators, who went on to have another losing season, got a measure of revenge the following day, downing the boys from the Windy City’s south side 8–4. I became something of a Senators follower after that, which was a hard thing to be, considering the team’s consistent efforts at staying below average. The one time they weren’t was a year later, in 1969, when they finished fourth in the American League East with a record of 86–76. A few years later, they left Washington after two dismal seasons and found a home in Arlington, Texas. It was also in 1969 when I viewed my second live contest. My uncle, his two sons and myself attended a Chicago Cubs-Los Angeles Dodgers contest at Dodger Stadium. The Cubs, who led the National League East at the time, prevailed 4–0. It would just be a short time later that the men from the Windy City’s north side would suffer one of Major League Baseball’s greatest late-season collapses. That occurred when the New York Mets, the miracle team of that season, overtook them, and captured not only the National League’s Eastern Division, [End Page 75] but the pennant and the World Series title as well. Less than a year later, in late May, I got to see those same Mets rally to beat the Houston Astros 4–3 at Shea Stadium. One might ask that if I am not a die-hard baseball fan, then how come I remember those three games so vividly? Well, they were the only ones I attended during that stretch, so it’s pretty easy to recall each of them and what happened. Also, they took place during an innocent stage of my life, when I wasn’t paying much attention to the world around me, and when sports, whether on television or in person, was a place where larger-than-life heroes displayed their talents. If they wore the uniform of your favorite team, all the better. Also, even as a child, I understood the arrival of another baseball season meant the coming of better weather. Don’t knock it. When you’re growing up in the Northeast, winters and the accompanying snow, ice and freezing temperatures can be pretty depressing. In my case, I lived in Connecticut, a state with the stereotype of having great schools, because there isn’t anything else to do. Arguably, there is a lot of truth to that, and during the winter, it can get pretty monotonous, unless one finds a place to go sledding or skiing. Then, starting in March, spring training began. By early April, the New York Yankees and Mets—they were the two teams whose games were available for viewing in my area—would open their respective seasons and begin nearly daily broadcasts of home and away contests. That was especially exciting as a little kid, when, sometimes either team, or even both, would televise afternoon games. It was actually quite a treat to come home from school and watch a game, something I could not do with football or basketball. More importantly, as the baseball season...

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: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,307
Score d'incertitude au seuil0,696

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)0,3050,001

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 Opus0,007
Tête enseignante GPT0,196
Écart entre enseignants0,188 · 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