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Record W4389675654 · doi:10.1353/nin.2023.a914851

Field of Magic, Baseball’s Superstitions, Curses and Taboos by John Cairney (review)

2023· article· en· W4389675654 on OpenAlexvenueno aff
Lisa Alexander

Bibliographic record

VenueNine · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicAmerican Sports and Literature
Canadian institutionsnot available
Fundersnot available
KeywordsMAGIC (telescope)PilgrimSuperstitionPsychologyArt historyArtPsychoanalysisHistoryPhilosophyTheology

Abstract

fetched live from OpenAlex

Reviewed by: Field of Magic, Baseball's Superstitions, Curses and Taboos by John Cairney Lisa Alexander John Cairney. Field of Magic, Baseball's Superstitions, Curses and Taboos. Jefferson, NC: McFarland, 2023. 215 pp. Paperback, $29.95. Field of Magic, Baseball's Superstitions, Curses and Taboos is a self-explanatory title if ever there were one. Equal parts history and psychology rumination, John Cairney's book provides numerous examples of just how superstitious and sometimes illogical baseball players and fans can be about phenomena that cannot be objectively verified and asks whether baseball players and fans are more superstitious than those of other organized sports. Cairney divides his inquiry into four groupings: rituals, fetishes, curses, and taboos, and provides examples past and present of each. Rituals feel like the most well-known of the categories and can be individualized or collective in nature. We often see players crossing themselves before every at bat and, of course, fans sing "Take Me Out to the Ballgame" during the seventh inning stretch. At the same time, the story of players who urinated on their hands as part of their pregame ritual could best be described as interesting. Fetishes "refers to a person, animal, or object that has been ascribed supernatural powers and is viewed as a source of magic" (49). Most of us are already familiar with fetishes such as rabbit's feet, four-leaf clovers, and the Angels' rally monkey. In addition most teams have a mascot of some kind whose original role was to function as a good luck charm or fetish but today functions more as a master of ceremonies for ballpark entertainment. Cairney presents the history of human mascots such as Eddie Bennett (of the Yankees and White Sox), Little Ray Kelly (Yankees), and Nelson de la Rosa (Red Sox), which are less likely to appear in today's game. [End Page 116] The most fascinating chapter of the book brings to mind the Albert King blues classic "Born Under a Bad Sign." The depth and breadth of curses Cairney discusses in chapter three was surprising. Naturally the first two curses discussed in the chapter are the Curse of the Bambino and the Curse of the Billy Goat. The chapter goes on to debunk The Home Run Derby Curse, update us on the failed attempts to exorcise The Curse of Colonel Sanders (the Hanshin Tigers), the reversal of The Curse of William "Billy" Penn (Philadelphia), and explain the $50,000 the Yankees spent to dig up part of the foundation of the new Yankee Stadium to avert a curse from an impassioned Red Sox fan. Readers may or may not be surprised to learn that there are also multiple baseball curses attributed to Taylor Swift concerts. The entire chapter is a revelation. Chapter four deals with taboos or "prohibitions of behavior or beliefs [that if] broken, it can result in serious social sanctioning including disapproval, shunning, and even legal action" (119). One of the popular taboos is about pitchers throwing a no-hitter or perfect game. In many instances teammates will not talk to the pitcher and will segregate said pitcher in the dugout if the milestone is imminent. Pitchers typically won't speak about this while it's happening unless they're former White Sox pitcher Mark Buehrle who famously walked up to every teammate in the dugout and asked if they knew he was throwing a perfect game and a no-hitter (he achieved the former in 2007 and the latter in 2009). The most infamous taboos surround cheating and gambling. Cairney does not go into detail on this issue, which is understandable— there are entire books written on these topics; however, classifying cheating and gambling as "taboo" is a different spin, for sure. Several unwritten rules of the game make an appearance in this chapter, and though it is mentioned earlier in the chapter (Cairney acknowledges that many of the examples could exist in different sections of the book), Jose Bautista's epic bat flip is the most interesting example explored. In discussing Bautista versus the Texas Rangers, Cairney does parse out the fact that "hot dogging" may violate the unwritten rules taboo in the United States...

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 score0.077
Threshold uncertainty score0.926

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)0.0750.000

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 head0.011
GPT teacher head0.238
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 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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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