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Record W1988316145 · doi:10.1353/nin.0.0083

Death at the Ballpark: A Comprehensive Study of Game-Related Fatalities, 1862–2007 (review)

2010· article· en· W1988316145 on OpenAlexvenueno aff
Aaron W. Miller

Bibliographic record

VenueNine · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicAmerican Sports and Literature
Canadian institutionsnot available
Fundersnot available
KeywordsCasualMacabreWhite (mutation)HistoryArtArt historyLawPolitical science

Abstract

fetched live from OpenAlex

Reviewed by: Death at the Ballpark: A Comprehensive Study of Game-Related Fatalities, 1862–2007 Aaron W. Miller Robert M. Gorman and David Weeks. Death at the Ballpark: A Comprehensive Study of Game-Related Fatalities, 1862–2007. Jefferson, NC: McFarland, 2007. 256 pp. Cloth, $45.00. Even the most casual sports fan knows the inherent dangers of baseball. The confines of a ballpark cannot insulate players from the realities of life and death. Bean balls, broken bats, and wild throws can injure players, umpires, and spectators. The fans as well as athletes can also suffer from heat strokes, falls, and lightning strikes. Baseball is a dangerous game. Robert M. Gorman and David Weeks’s Death at the Ballpark is a litany of when these injuries, accidents, and other incidents lead to death. This necrology of baseball includes some macabre, yet fascinating anecdotes. Gorman and Weeks’s exhaustively researched book includes the familiar, such as the mysterious death of Jim Creighton, one of baseball’s early stars and one of the game’s earliest fatalities. During an October 14, 1862, game between the Brooklyn Excelsiors and Unions of Morrisania, Creighton, who probably suffered from an inguinal hernia, collapsed after an at-bat, dying on October 18. Death at the Ballpark also recounts less infamous deaths. These tales from the baseball crypt are often violent, grisly, and downright bizarre, which makes for a fascinating read. The book recounts the reckless act of Art Shires, a first baseman for the White Sox. On May 30, 1928, while playing for [End Page 198] the Waco Cubs of the Class A Texas League, Shires threw a ball into the grandstand, injuring spectator Walter Lawson, perhaps contributing to his death. Gorman and Weeks, librarians at Winthrop University’s Dacus Library, divide their book into sections. They examined players, field personnel, and fans. Each chapter is then dedicated to a particular cause of death. Within each chapter, fatalities are grouped into major leagues, African American baseball, minor leagues, and amateurs. Then each death is listed chronologically. Many entries are only snippets, often due to a lack of reliable information. The authors separate African American deaths into a unique category due to “the historical interest in the game as played in a segregated America.” But this separation is uncomfortable, as it risks perpetuating the divide between black and white baseball and devaluing the contributions and importance of black baseball. Death at the Ballpark is a fantastic resource for any baseball researcher wanting more information about a player or fan who met an untimely demise. It includes an array of interesting images and photographs as well as easy-to-use appendices listing every entry in chronological order, unconfirmed fatalities, and deaths that did not fit into their particular categories. Despite the exhaustively researched catalog of death, Gorman and Weeks draw very few conclusions. Their analysis features a thorough examination of equipment, particularly aluminum bats and batting helmets, but the authors miss opportunities to discuss the relationship between death and rule changes or cultural issues outside of baseball. While the book lacks a finale that could define the significance of the study, Death at the Ballpark examines an overlooked and grisly aspect of baseball history, and its inventory of mortality might provide a springboard for discussions about changing attitudes towards death, public health issues, violence outside the ballpark, and social reforms. Copyright © 2010 University of Nebraska Press

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0060.007
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.002

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 head0.021
GPT teacher head0.248
Teacher spread0.227 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

Quick stats

Citations0
Published2010
Admission routes1
Has abstractyes

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