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Record W3130982920 · doi:10.1353/nin.2019.0012

My Most Prized Baseball Possession

2019· article· en· W3130982920 on OpenAlexvenueaboutno aff
Daniel Linnenberg, Virginia Skinner-Linnenberg

Bibliographic record

VenueNine · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicAmerican Sports and Literature
Canadian institutionsnot available
Fundersnot available
KeywordsPossession (linguistics)LeagueAdventureSpanish Civil WarTyingMinor (academic)HistoryMedia studiesArt historySociologyLawArchaeologyPolitical science

Abstract

fetched live from OpenAlex

My Most Prized Baseball Possession Daniel Linnenberg (bio) and Virginia Skinner-Linnenberg (bio) Baseball threads its way through all of America, tying together small towns, large cities, and all the suburbs in-between. Following that thread leads to a catalog of experiences with a breadth of history, culture, and people not ordinarily encountered through the average family vacation. Such travels can be the educational opportunities that many of us hope to have, for both ourselves and our families. Over the past twenty-four years, we have traveled to thirty-nine states and provinces and have seen 181 minor league parks in our ongoing quest to visit every minor league park (independents included) in the United States and Canada. During those travels, we have seen the good, the bad, and the ugly of what American culture has to offer. And we can say that, indeed, every road has been an educational adventure. For instance, baseball has led us to many of the battlefields of the Civil War (e.g., Gettysburg, Vicksburg, Antietam, Manassas), to famous geographic sites (such as Mt. St. Helens, the Smokey Mountains, Death Valley), to small towns that are struggling to stay alive (for instance, Happy, TX; Beloit, WI; Factoryville, PA), and to places we never imagined finding ourselves (such as the back roads of the deep, deep South). Each of these places has taught us about the history, geography, sociology, and psychology of our country. And one thing has stood out to us: American culture is, yes, diverse, but at the same time, very much the same, especially when it comes to baseball. Sometimes the smallest things, the most unexpected things, can be the most valuable about a trip. We can plan for months, build our expectations to such heights that it could be hard for any trip to live up to the anticipation. And while we’re on that trip, everything that we see and do can be just as wonderful as our expectations. Yet, when one small, serendipitous event occurs, all other sites and people can fade. This often happens to us. In 1997, when returning from our trip to North Carolina and Virginia, we flew into the Detroit airport to catch a flight to Traverse City (we were living in Michigan then). At that time in Detroit, when boarding those small “puddle jumpers,” they would bus us out to the plane instead of having a jetway. By [End Page 49] chance, we boarded the bus first and found some seats. As the bus filled, an older couple got on and came to stand just in front of us. The couple was about in their late 70s, early 80s. He was a tall, thin man with a curious smile. He wore a jaunty plaid cap, set at an angle over pure white hair. She was slight and slightly red-faced, probably from the exertion of walking from the gateway to the bus. Being that Dan’s parents had raised him to be exceedingly polite, he offered his seat to the woman. As Dan stood holding onto the pole, swaying with the bus’s turns and bumps, the gentleman stared at the logo on Dan’s shirt (a souvenir polo shirt from the Carolina Mud Cats). Finally, the stranger asked if Dan played professional baseball. Dan told him no, he wasn’t officially affiliated with baseball; we were just fans who traveled around to see minor league games. Dan explained that we had started our obsession with the minor league because the majors had become so centered on money, whereas most minor league players still showed a real love of the game. “Have you ever seen the Charlotte Knights?” the man asked. Again, Dan had to say no, we hadn’t gotten that far south yet. But it was on our list for the near future. The stranger said, “I was just wondering because I played with the Knights before I was called up to the Washington Senators.” By the time we got this far in the conversation, it was time to debark the bus and board the plane. On our way to Traverse City, Dan whispered to Ginny that he was not going to miss...

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 score0.327
Threshold uncertainty score0.673

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)0.3270.000

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 head0.007
GPT teacher head0.202
Teacher spread0.194 · 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
Published2019
Admission routes2
Has abstractyes

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