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Enregistrement W2027024924 · doi:10.1176/appi.pn.2015.2b1

Baseball Fans Can Indulge in the American Pastime in Toronto

2015· article· en· W2027024924 sur OpenAlexaboutno aff
Aaron Levin

Notice bibliographique

RevuePsychiatric News · 2015
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueAmerican Sports and Literature
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésLeagueHistoryMedia studiesArt historySociology

Résumé

récupéré en direct d'OpenAlex

Back to table of contents Previous article Next article Annual Meeting HighlightsFull AccessBaseball Fans Can Indulge in the American Pastime in TorontoAaron LevinAaron LevinPublished Online:20 Feb 2015https://doi.org/10.1176/appi.pn.2015.2b1AbstractToronto's Blue Jays stalked the free-agent market to stock up on some big bats to get ahead of the competition in the tough American League East.Drought is hardly a word one associates with Canada, but that's been the postseason story of the Toronto Blue Jays for two decades. While they won the World Series in 1992 and 1993, but they've been crawling through baseball's playoff desert ever since.The upgraded Toronto Blue Jays take to the field in the Rogers Centre on May 18, 19, and 20.Matthew Jacques/ShutterstockHowever, pitchers and catchers report February 20, and what is baseball when spring training starts if not a manifestation of hope?By the time APA's annual meeting rolls around in May, fans will be able to see whether numerous off-season trades and free-agent signings have changed their fortunes. Meeting attendees will have a chance to watch the Blue Jays play the Los Angeles Angels on May 18, 19, and 20.Last year was a heartbreaker for Toronto fans. There was a glimmer of hope—or perhaps just a mirage—early in the 2014 season, when the Jays stood in first place in the American League East. Their season went downhill after July 4, however, and the team finished in third place, 13 games behind the division champion Baltimore Orioles.The Birds of Toronto decided that maybe the Birds of Baltimore had something they could use, although it wasn't a player. Rumors swirled in Crabtown for months that the Jays were trying to poach Baltimore's general manager Dan Duquette, but the effort was ultimately quashed by Orioles' management.In any case, last year's late-season slowdown sent general manager Alex Anthopoulos out for some off-season horse trading, with an eye for power-hitting steeds. His biggest pickup perhaps was veteran catcher Russell Martin, who was born in Ontario but grew up in Montreal and, more importantly, hit .290 last year for Pittsburgh. His five-year, $82 million contract was the fattest ever offered by the Blue Jays.The team also traded for Oakland outfielder Josh Donaldson. Martin and Donaldson, together with Jose Reyes, Jose Bautista, and Edward Encarnacion, should form an intimidating core for the Jays' batting order.As for pitching, the Blue Jays will build around a pair of veteran starters. Right-hander R.A. Dickey won the Cy Young Award in 2012, while lefty Mark Buehrle went 14-10 last year. Marcus Stroman came on strong in the second half of last year's campaign. Drew Hutchinson struck out 184 batters last year going 11-13, but that was his first year back from Tommy John surgery, and more is expected from him in 2015.Meanwhile, the Angels fly into town with last year's unanimous American League Most Valuable Player (MVP), Mike Trout. Trout will start his fourth full Major League season, but his early career has already been compared with those of Willie Mays, Mickey Mantle, and Frank Robinson.In his first three seasons, Trout compiled a .311 batting average, hit 93 home runs, and led the league three years running in runs scored. Trout is backed up in the Angels' lineup by Albert Pujols, a three-time MVP winner himself.Getting to a game is easy enough for annual meeting attendees, since the Blue Jays' home field is the retractable-roofed Rogers Centre, just next to the Toronto Convention Centre. ■Schedule and ticket information for the Blue Jays games can be accessed here. ISSUES NewArchived

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)0,001
score de la tête « metaresearch » (Gemma)0,001
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 enseignants0,342
Score d'incertitude au seuil1,000

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0080,001
Communication savante0,0040,001
Science ouverte0,0010,005
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,2990,055

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 Opus0,020
Tête enseignante GPT0,251
Écart entre enseignants0,232 · 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
Publié2015
Routes d'admission1
Résumé présentoui

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