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Record W4319725781 · doi:10.58809/yiqk7650

"What’s in a name?" Baseball Goes to Town in 1886

2022· book· en· W4319725781 on OpenAlexaboutno aff
Mark Eberle

Bibliographic record

Venuenot available
Typebook
Languageen
FieldArts and Humanities
TopicAmerican Sports and Literature
Canadian institutionsnot available
FundersKansas Department of Wildlife and Parks
KeywordsLeagueClubWhite (mutation)HistoryMemphisState (computer science)ArchaeologyGeography

Abstract

fetched live from OpenAlex

In 1886, the St. Louis Browns of the American Association defeated the Chicago White Stockings (now the Chicago Cubs) of the National League in a postseason series, the only time an American Association club won the series played from 1884 to 1890. Also in 1886, the Missouri Pacific railroad organized the construction of a rail line in Kansas from Council Grove through Osage City to Ottawa. To commemorate the Browns’ season, the Missouri Pacific named two new stations after Browns’ players: Bushong in Lyon County and Comiskey in Morris County. Albert "Doc" Bushong was a catcher for the Browns, and Charles Comiskey was the club’s first baseman and captain (player-manager). Early reports of the towns named after baseball players contained incorrect information, but more recent publications have correctly described the events. This monograph provides additional details of the events and documents contemporary sources. The town of Comiskey no longer exists, but the small community of Bushong recently became a trailhead on the extensive Flint Hills Trail State Park, which follows the final alignment of the Missouri Pacific railroad bed.

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 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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.063
Threshold uncertainty score0.211

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.001
Scholarly communication0.0060.003
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0630.025

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 head0.014
GPT teacher head0.210
Teacher spread0.196 · 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 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
Published2022
Admission routes1
Has abstractyes

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Same topicAmerican Sports and LiteratureFrench-language works237,207