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Record W3004364520 · doi:10.58809/fpaz2104

Captain George W. Bradley, A.Q.M., and the Bradley Base Ball Clubs

2020· book· en· W3004364520 on OpenAlexaboutno aff
Mark Eberle

Bibliographic record

Venuenot available
Typebook
Languageen
FieldArts and Humanities
TopicAmerican Sports and Literature
Canadian institutionsnot available
Fundersnot available
KeywordsGeorge (robot)ClubArt historyArtSpanish Civil WarPerformance artCONTESTCartographyHistoryArchaeologyLawGeographyPolitical scienceGeology

Abstract

fetched live from OpenAlex

George W. Bradley served as a quartermaster for the New York Volunteers during the US Civil War. After the war, he became an assistant quartermaster (A.Q.M.) in the regular army with the rank of captain. Captain Bradley served at several posts, mostly in the West. While serving at Fort Harker, Kansas in 1867 and at Fort Union, New Mexico in 1868, teams from the forts organized teams they named the Bradley Base Ball Club (BBC). In Kansas, the Bradley BBC defeated the Smoky Hill BBC from Ellsworth, but in New Mexico, they lost to the Santa Fe BBC in a game played at Las Vegas. The contest in Las Vegas is currently the earliest documented game played by two clubs from distant localities in New Mexico. Captain Bradley was transferred to Philadelphia in 1880, where he passed away in 1882 at age 51. During the early 1890s, his daughter, Kate Mickles Bradley, lived in Omaha, Nebraska and Ottawa, Kansas. In 1896, she and her mother, Agnes, moved back to Washington, DC. In Washington, Kate became well known as a professional art model and a teacher and performer of the Delsarte method of expression, which influenced acting and modern dance. Agnes and Kate both passed away in New York in 1920 and were buried with George in Arlington National Cemetery.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.228
Threshold uncertainty score0.761

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0070.001
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.2280.070

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 head0.172
Teacher spread0.161 · 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

Citations3
Published2020
Admission routes1
Has abstractyes

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Same topicAmerican Sports and LiteratureFrench-language works237,207