A Scientist Observes Florida: 1870
Bibliographic record
Abstract
No roll of nineteenth century America’s eminent men of science would be complete without the name of Jared Potter Kirtkurd. His noteworthy career was no less of an ornament to the historical recollection of northeastern Ohio than to the scientific fraternity of the country as a whole. Kirtland’s endeavors led him into many areas of public enlightenment. Born in Connecticut in 1793, of deeply-rooted New England ancestry, young Jared had shown an early enthusiasm for horticulture and natural history. At the age of fifteen years he made an original scientific contribution. Later in 1815, at Yale Medical College, he received his M.D. degree as a member of the first graduating class of that fledgling institution of medicine and launched into practice. The year 1825 found him among the pioneers of the Western Reserve in Ohio. His worth as an individual was there given public recognition when, in 1828, he was elected to the Ohio legislature where he served several terms. In the 1830’s he became a trustee of Western Reserve and Ohio Agricultural colleges and held a chair on the faculty of the Medical College of Ohio in Cincinnati. He was appointed to assist with the Ohio geological survey and became the president of the Third Ohio Medical Convention. Kirtland’s distinction further increased in the following decade when he became a founder of the Cleveland Medical College (now a part of Western Reserve University).
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.096 | 0.014 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".