Bibliographic record
Abstract
Larkspur, California, March 8, 1903. Dear Mr. Muir: I don't know whether I have yet informed you that in a journalistic sense I departed this life on the 7th of last December. On that day I gave up my position as Sunday Editor of the Examiner, retaining oily the literary editorship. My position was the most paradoxical one I ever heard of — my head full of Milton and Tennyson and my hands full of yellow manuscripts. But no more of that for yours truly. It was just about a year ago that I visited you; and I have been thinking every day [illegible] about another pilgrimage to the Muir Mecca. Would next Saturday be convenient for you to receive me? I feel a great delicacy about breaking in upon your quiet, as I always fear I can bring you very little that is worth while to you, while you give so much to me. But there is a subject very near to my heart that I want to talk over with you. You know that May 26th will be the hundredth anniversary of the birth of Emerson. I want to see what can he done by the literary folk of the Coast to celebrate that event. The centenary will be celebrated in the last and the West ought to do something to show that we know who our foremost American was and how great he was. [03176]
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 | 0.001 | 0.005 |
| 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 | 0.009 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.913 | 0.882 |
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".