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Record W7026871784

Black, Bob, photographs, 1978

2023· article· en· W7026871784 on OpenAlexaboutno aff

Bibliographic record

VenuePittsburg State University Digital Commons (Pittsburg State University) · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicPhotography and Visual Culture
Canadian institutionsnot available
Fundersnot available
KeywordsBluesPublishingBallroomState (computer science)Service (business)FranchiseClubAdventure
DOInot available

Abstract

fetched live from OpenAlex

The Bob Black Photographs are polaroid photographs showing the immediate aftermath of the July 1978 fire in Girard, Kansas which destroyed the former Haldeman-Julius Publishing Company building. Bob Black was born in 1943 in Nashville, Tennessee, to John and Mary (Collins) Black. Bob graduated from Ottawa High School (Kansas) in 1961 and went on to earn a Computer Science degree from Kansas State University in 1972. In 1972 he began his career at Missouri Pacific as a programmer analyst. Shortly after this, he moved to Pittsburg, Kansas to start the first ServiceMaster franchise in Pittsburg. He later formed Alternate Systems, initially a mail distribution service and later a cleaning company. He would go on to own and operate several other small businesses throughout the years. Bob married Judy McLain in 1969, and they had three children, Michelle, Tim and Belinda. Bob "Blue" was known for his vintage Harley motorcycles. He enjoyed traveling to blues festivals and motorcycle events. Bob served in the U.S. Marine Corp from 1964-1967, with 13 months of foreign service during the Vietnam War. He was decorated with multiple medals and badges. For years Bob lived in Carona, Kansas (Cherokee County) in the old historic Gay Parita Ballroom building, which had been renamed the Blue Parita. He passed away in 2021.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.527
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0020.002
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.026
GPT teacher head0.205
Teacher spread0.179 · 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
GenreEmpirical

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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