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Record W2617972194

"Cap" Cornish, Indiana Pilot: Navigating the Century of Flight

2014· book· en· W2617972194 on OpenAlexaboutno aff
R. Ingraham

Bibliographic record

Venuenot available
Typebook
Languageen
FieldEngineering
TopicAir Traffic Management and Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsCornishAeronauticsEngineeringGeographyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

Clarence "Cap" Cornish was an Indiana pilot whose life spanned all but five years of the Century of Flight. Born in Canada in 1898, Cornish grew up in Fort Wayne, Indiana. He began flying at the age of nineteen, piloting a "Jenny" aircraft during World War I, and continued to fly for the next seventy-eight years. In 1995, at the age of ninety-seven, he was recognized by Guinness World Records as the world's oldest actively flying pilot. The mid-1920s to the mid-1950s were Cornish's most active years in aviation. During that period, sod runways gave way to asphalt and concrete; navigation evolved from the iron rail compass to radar; runways that once had been outlined at night with cans of oil topped off with flaming gasoline now shimmered with multicolored electric lights; instead of being crammed next to mailbags in open-air cockpits, passengers sat comfortably in streamlined, pressurized cabins. In the early phase of that era, Cornish performed aerobatics and won air races. He went on to run a full-service flying business, served as chief pilot for the Fort Wayne News-Sentinel, managed the city's municipal airport, helped monitor and maintain safe skies above the continental United States during World War II, and directed Indiana's first Aeronautics Commission. Dedicating his life to flight and its many ramifications, Cornish helped guide the sensible development of aviation as it grew from infancy to maturity. Through his many personal experiences, the story of flight nationally is played out.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.087
Threshold uncertainty score0.640

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.005
GPT teacher head0.171
Teacher spread0.166 · 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 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
Published2014
Admission routes1
Has abstractyes

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