Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.956 | 0.964 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".