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Record W4389675690 · doi:10.1353/nin.2023.a914854

Baseball’s Endangered Species: Inside the Craft of Scouting by Those Who Lived It by Lee Lowenfish (review)

2023· article· en· W4389675690 on OpenAlexvenueno aff
Mitchell J Nathanson

Bibliographic record

VenueNine · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicAmerican Sports and Literature
Canadian institutionsnot available
Fundersnot available
KeywordsCraftEndangered speciesSubtitleArt historyVisual artsInsiderArtHistoryMedia studiesSociologyLawComputer sciencePolitical science

Abstract

fetched live from OpenAlex

Reviewed by: Baseball's Endangered Species: Inside the Craft of Scouting by Those Who Lived It by Lee Lowenfish Mitchell Nathanson Lee Lowenfish. Baseball's Endangered Species: Inside the Craft of Scouting by Those Who Lived It. Lincoln: University of Nebraska Press, 2023. 344 pp. Cloth, $34.95. If you've ever had the hankering to spend some time chewing the cud with the old-timers who traveled the highways and byways of America and beyond to find the ballplayers you've watched on television since you were a kid, here's the book for you. Lee Lowenfish, the author of Branch Rickey: Baseball's Ferocious Gentleman, revisits Rickey's farm system through the eyes of Charlie Barrett, who Lowenfish describes as "Rickey's first and most beloved scout," (5) as well as spins the tales of eight other scouts who span the history of the game from 1919 through the late twentieth century. It's a journey down memory lane that will almost make you want to go out and beat the bushes yourself. It's not, however, an insider's guide to the craft of scouting, as the subtitle suggests. This is not a "how to" book by a longshot. Nor is it a detailed analysis of the merits of this scout over that one or this method as opposed to that method. Here again this marks an occasion where the subtitle gets the better of the book itself, diverting potential readers from the thrust of text that [End Page 122] is contained between the covers. I'm not sure why it is that the subtitles of so many books commit this unforced error, but here it is one more time, which is too bad because the book itself is a thoroughly engaging romp through the small-town, backwater origins of so many of the ballplayers most fans know only as established Major Leaguers. It's just not the book readers might think it is when they first scan the cover. Herein are tales of a handful of scouts as gathered by Lowenfish. Or, to be more precise, herein are tales that begin with perhaps a story centered around the scout whose name heads the chapter but then meanders here and there into stories of how this team or that team was built, some of which might arguably be attributable to the efforts of the titular scout himself. Lowenfish's narrative tends to bleed here and there, off to one aside and then another, but in a book like this the method works. After all, a book that attempted to draw a straight line between the work of any given scout and the success of his big league employer years down the road would be not only impossible but impossibly flawed; there are simply too many variables that affect the development of a given player between the day the scout signs him and the day he steps onto a big league diamond. What's more, it's simply more enjoyable to follow the ebb and flow of a narrative that goes wherever the story takes it, regardless of whether the scout himself gets lost in the shuffle on occasion. Most fans have never heard of any of the scouts around whom Lowenfish chooses to anchor his chapters, but they probably have heard of big leaguers who crossed their paths even if indirectly so Lowenfish's decision to widen rather than narrow his lens will probably be a comfort to most readers and, let's face it, more fun. Although the book doesn't present a scientific argument for the methods of "eyes and ears" scouting (as Lowenfish terms it) over the recent craze of more data-driven methods of prospect analysis, it does make a more general case through the course of the book's nine scout-centered chapters for the merits of the traditional approach. It's hard to tell, though, how and why one method might be preferable over the other. In the end, through either approach, players get drafted and a few reach the majors; fewer still succeed at that level. The analytic approach might have its drawbacks and blind spots, but, to this reader...

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 score0.060
Threshold uncertainty score0.941

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)0.0600.000

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 head0.031
GPT teacher head0.250
Teacher spread0.219 · 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
Published2023
Admission routes1
Has abstractyes

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Same venueNineSame topicAmerican Sports and LiteratureFrench-language works237,207