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Record W7027167967

Brinkerhoff, Fred, papers, 1905-1930

2020· article· en· W7027167967 on OpenAlexaboutno aff

Bibliographic record

VenuePittsburg State University Digital Commons (Pittsburg State University) · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicAmerican Sports and Literature
Canadian institutionsnot available
Fundersnot available
KeywordsNewspaperWhite (mutation)State (computer science)Work (physics)
DOInot available

Abstract

fetched live from OpenAlex

A collection of correspondence and newspaper clippings related to Fred Brinkerhoff and the Pittsburg Headlight- now the Morning Sun. Fred W. Brinkerhoff, born in 1885, was the editor for the Pittsburg Headlight (now the Pittsburg Morning Sun) for approximately fifty years. Brinkerhoff first began working for newspapers while in high school, working under Henry J. Allen at the Ottawa Herald. He studied at the University of Kansas before working at Fort Scott and Chanute papers as well at the Kansas City Star. Brinkerhoff moved to Pittsburg in May 1911 and became the editor of the newspaper four months later. In 1961, a large celebration was held for him to mark his work and contribution to the area. He was the third recipient of the William Allen White award, president of the Kansas Press Association, chairman of the Kansas Associated Press, and president of the Kansas State Historical Society to name a few of his accomplishments and affiliations. Brinkerhoff wrote an estimated hundred editorials per month during his career. Brinkerhoff passed in 1966.

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)0.007
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 score0.048
Threshold uncertainty score0.159

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.004
Science and technology studies0.0050.002
Scholarly communication0.0070.004
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0480.023

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 head0.165
Teacher spread0.151 · 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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venuePittsburg State University Digital Commons (Pittsburg State University)Same topicAmerican Sports and LiteratureFrench-language works237,207