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Record W7037572981

Doughboy World War I

2021· article· en· W7037572981 on OpenAlexaboutno aff

Bibliographic record

VenueUND Scholarly Commons (University of North Dakota) · 2021
Typearticle
Languageen
FieldComputer Science
TopicInnovative Educational Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsWorld War IISpanish Civil WarState (computer science)Key (lock)First world warSculpture
DOInot available

Abstract

fetched live from OpenAlex

Stanley “Barefoot” Papio Stanley Joseph Papio was born in Canada. He was a welder in the Army during WWII and proceeded to wander throughout the United States working various odd jobs after his service. He settled on the island of Key Largo in 1949 and opened his own welding business. The origin of his “Barefoot” moniker is simple; he welded barefoot. He said that the sparks from welding wrecked his shoes and it was cheaper for him to get used to his burned feet. Papio encouraged people to leave their old cars, appliances, and other metal detritus on his lot so that he could incorporate them into his sculpture. Over time, the area became more and more developed and neighbors were continually complaining about his sculptures; Papio created his museum to avoid zoning laws that the locals would bring up to levy fines on him. Papio often gave his sculptures humorous and spiteful names making fun of some of his detractors. Papio began to gain some degree of fame later in his life; he would go on to exhibit his work in Ottawa, and some of his works were toured across Europe as part of an exhibit “America Now”, put on by the U.S. State Department. Encouraged by this, he planned to build a trailer to tour his artwork across America. He died of a heart attack at age 67 which ended any of his further plans. His legacy is kept alive due to the donation of his works to the Key West Art and Historical society, which still displays them to this day. Images and film are provided for educational purposes only. May not be reproduced in any form without written consent. ©University of North Dakota. All rights reserved.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.580
Threshold uncertainty score0.661

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0000.000
Scholarly communication0.0000.003
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.030
GPT teacher head0.241
Teacher spread0.210 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2021
Admission routes1
Has abstractyes

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