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

Baseball Fans Can Indulge in the American Pastime in Toronto

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

Bibliographic record

VenuePsychiatric News · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicAmerican Sports and Literature
Canadian institutionsnot available
Fundersnot available
KeywordsLeagueHistoryMedia studiesArt historySociology

Abstract

fetched live from 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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.659
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.251
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2015
Admission routes1
Has abstractyes

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