Bibliographic record
Abstract
Aurora. Nebraska. May 25, 1909. Dear.Sir:- Your valued favor of 19 inst. is received, giving me the desired information regarding Hetch-Hetchy Valley, the Tuolumne Meadows, etc. Please accept my thanks for the kindness. I hope California, whose interest financially is more in jeop-ardy from San Francisco's Bill in Congress attempting to got Hetch-Hetchy if Valley and all the rest she is after to destroy for her Water Supply, than is the interest of any other ten States, will rise up en masse with her petitions now to Congress and besiege Washington with letters pray-V? ing the defeat of the Bill, for if San Francisco were granted her appli-cation every town and City in California would be hurt for all time except San Prancisco. But I do not believe that Congress could be induced to pass the Bill over the head of the great Common wealth of California alone if the whole state, outside of San Francisco, would rise up en masse asolid with their petitions and thousands of individual letters to Congress appealing and protesting against the abominable Bill of scheme. Push the campaign against it at your end of the line, and we are going to try to do our part this side of the Rockies to save Hetoh-Hetchy and the whole Park intact as a virgin, and furthermore, try to have such legislation passed as will forestall and effectually prevent any future attempts at vandalism on any of our National Parks. I am glad to have met you even in correspondence, and wish you the best. Very truly Yrours. [illegible] Mr. John Muir. Author. Scientist, Explorer, Martinez California. [illegible]
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.879 | 0.818 |
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".