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Record W2779769827 · doi:10.1353/nin.2015.0051

Baseball Maverick: How Sandy Alderson Revolutionized Baseball and Revived the Mets by Steve Kettmann

2015· article· en· W2779769827 on OpenAlexvenueno aff
Steven P. Gietschier

Bibliographic record

VenueNine · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicAmerican Sports and Literature
Canadian institutionsnot available
Fundersnot available
KeywordsLeagueChampionshipFaithArt historyHistoryLawMedia studiesArtSociologyPolitical scienceTheologyPhilosophy

Abstract

fetched live from OpenAlex

Reviewed by: Baseball Maverick: How Sandy Alderson Revolutionized Baseball and Revived the Mets by Steve Kettmann Steven P. Gietschier Steve Kettmann. Baseball Maverick: How Sandy Alderson Revolutionized Baseball and Revived the Mets. New York: Atlantic Monthly Press, 2015. 331 pp. Cloth, $26. It takes a bit of East Coast chutzpah to suggest in the very title of a book that the man who has presided as general manager over the New York Mets for the past four seasons, during which they have amassed 77, 74, 74, and 79 wins, has revolutionized the game and revived a mediocre franchise. Dyed-in-the-wool Mets fans may believe, as spring training opens in 2015 and this review is being written, that the upcoming season will be their year, but how many others [End Page 210] think this will be the case? Oh, ye of little faith! Spend a few hours reading veteran journalist Steve Kettmann's excellent baseball biography of Sandy Alder-son, the general manager in question, and perhaps you will not be surprised if the Mets reach the post-season for the first time since Adam Wainwright dropped that enervating curveball over the plate against a helpless Carlos Beltran in the 2006 National League Championship Series. A lawyer by training, Alderson was a baseball novice when he became general counsel for the Oakland A's. Roy Eisenhardt, working in the same law firm, coaxed Alderson to Oakland just after Eisenhardt's father-in-law, Walter Haas, bought the A's in 1980. Two years later, Alderson, an ex-Marine with an inquisitive mind, was Oakland's general manager. By the end of the decade, the A's had won four division titles, three pennants, and the 1989 World Series. After the Haas family sold the team, Alderson transitioned out. He did two stints in the Commissioner's Office, sandwiched around four years and two division titles with the San Diego Padres. In his first stint in New York, he worked to improve the game's umpiring. In his second, he ironed out some difficulties in the Dominican Republic. Then, at the urging of Bud Selig, the Mets called in the fall of 2010. Kettmann's title may appear to be a brash, in-your-face marketing ploy, but his book is thoroughly researched, with Alderson's support, and carefully written. It is well worth the attention of serious fans and scholars. As the subtitle suggests, the book has two themes. The first is a necessary and overdue corrective to the notion that Billy Beane was the first major league executive to introduce sabermetrics—or what is now called advanced analytics—to the front office. Committed to learning the game and working smart, it was Alderson who ruminated on the merits of Earl Weaver's preferred offensive strategy, get two men on base and hit a three-run homer. It was he who read Bill James. It was he who listened to Eric Walker's commentaries on the local NPR station and brought him in to do some number-crunching. And it was he who rebuilt the A's farm system that produced three consecutive American League rookies-of-the-year, Jose Canseco, Mark McGwire, and Walt Weiss, and a steady record of success. In the spring following the 1989 Series, Beane's marginal career as a player was over, and he became a scout for Alderson and later his assistant and his student. The rest is history, at least according to Moneyball. What Alderson has done with the Mets is Kettmann's second and larger theme. Following the heartache of 2006, the New Yorkers had endured two September collapses and two indifferent seasons. General Manager Omar Minaya had proven not to be the savior Mets fans craved, and the Wilpon ownership team turned to Alderson. He accepted the challenge, unaware of [End Page 211] the extent to which the Bernard Madoff financial scandal, implicating the Wilpons, would tie his hands. Still, re-assembling a cadre of experts who had worked with him before, Alderson put in place a four-year plan designed to put his team in the post-season in 2014. But more than that, the GM dedicated his...

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: Other · Consensus signal: Other
Teacher disagreement score0.178
Threshold uncertainty score0.988

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)0.0130.000

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 head0.026
GPT teacher head0.205
Teacher spread0.179 · 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
GenreOther

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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