Bibliographic record
Abstract
KANSAS ACADEMY OF SCIENCE. J. T. LOVEWELL. PH. D.. SECRETARY. OFFICERS, 1909. PRESIDENT F. B. DAINS, TOPEKA. VICE-PRESIDENTS, J. M. McWHARF, OTTAWA. A. J. SMITH. EMPORIA. TREASURER F. W. BUSHONG, LAWRENCE. TOPEKA. KANSAS. June 29, 1910. Mr. John Muir, Martinez, Calif. Dear Sir:- Do your thoughts,in the evening of life, sometimes revert to earlier days? This letter will test your memory of an experience more than fifty years ago, in '59 I think, when you lived a few months at Prairie du Chien, Wis. You will recal your friend, Mrs. Edward Pelton, and their niece, Emily who later went to California, and from there wrote to my wife, (no Maggie Bissell) of meeting and finding you "the sane true-hearted, unaffected friend" she had known in earlier days, and she said you were then esteemed as the most desirable pilot to the wonderful Yosemite. My wife died in 1876 and I have lost track of Emily Pelton, who afterward married. Do you know if she is still living? You will remember Norman Wiard, the ice boat man, who told you to draw a billiard ball as his first and last lesson in engineering, and you found it difficult to make your drawing appear any other than a flat figure. We all admired your mechanical handicraft in constructing the "scythe of time" and the student's bedstead, which would almost think for him if he was inclined to shirk the virtue of early rising. There was a hint of poetic thought in these early performances, and I doubt not that you smile as you remember them and the days before "you had found yourself". I early began to read your charming magazine sketches of the mountains, and have admiringly noted your development in fame and achievement. The late Joseph Cook, lecturing here many years ago, and speaking of John Muir, said "he was or ought to be the State Geologist of California. It is more than thirty years since I came to Topeka, and my knowledge of Wisconsin consists largely of memories. You may remember that I had a little school in Prairie du Chien, and most of my life has been spent in educational pursuits. The vocation has brought me neither fame nor fortune, but even such a life has compensations. I have had continued good health, with all faculties preserved, so that I can enjoy literature and science as well as ever, and my bodily vigor has but little abated. This letter may seem an intrusion and very likely you may fail altogether to connect me with events of that time and recal one who did nothing to impress his personality on you. Wishing you long enjoyment of the glorious mountain scenery whose beauties you have done so much to reveal and conserve, I remain Truly your friend, [illegible] 04820
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.912 | 0.896 |
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".