Bibliographic record
Abstract
[1] Residence of C. H. Jay Meaford Ont. Can Jan 23-06 John Muir Esq Dear Friend I am back in old Canada again (My bro James is very sick and I have come to see him He is in a bad way it is no doubt his last sickness Kidney disorder bringing on dropsical conditions and all the accompany troubles He is thin and his big head big bones large ears and large nose show strongly against his emaciated body but his mind is clear and can converse without much effort His feet 5 times the proper size and have been tapped to let the water out yet he can stand on them and get from bed to chair He has got around after similar sicknesses before, but there is no hope this time. Meaford is a pretty town, Has a fine artificial harbor, and a good lake and 03685 2 Railroad trade Big Elevators for receiving and shipping grain But this to you at least can be only a matter of passing interest I want to tell you that I have at length [succeeded?] in securing that long looked for agreement that must be made before I could make my Cal journey I pressed the matter to a [focus?] because I was coming here. I affixed my signature and drew a small instalment two hours before taking the train for this place. I need not give particulars, if is sufficient to say the imediate effect will practically treble my present income and may go very much beyond that; insuring for me a respectable [competence?] and something for good and needy causes, and still have a remnant to pas on to my children. I hope to to take more ginuine enjoyment out my little amount of money than the average man of great wealth does out of his 03685
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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 | 0.008 |
| 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 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.816 | 0.739 |
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".