Bibliographic record
Abstract
Sitka Alaska July I6th 1879. Dear Mrs Bidwell. This is a charming portion of Gods lovely world, such a wondrous composition of land and water- still glassy bays and inlets islands and mountains. The voyage all the way up from Victoria is through the most wonderful system of ocean inlets straits reaches and channels imaginable. It was difficult to realize that we were on salt water at all- we seemed to be sailing on a deep winding river abounding in lovely mountain scenery, snow and ice on the summits dense forests from the snow line down to the waters edge. The Numerable Cascades like silver ribbons and webs of lace pouring in through the woods on either side the water calm and glassy fenced out from the swell of the ocean. The whole marvellous network of fiords along this Northen Coast was eroded and fashioned by the ancient glaciers, and the small waves that plash their shores have not yet appreciable marked the rocks. I had a delightful botanical ramble yesterday through a forest and a bog. My old favorites of Canada were found in bloom, heathworts Linnea Cranberry huckleberries Sedum Pyrolq, etc. The forests are impenetrably dense, green and damp and mossy. Cupressus Menzies Spruce and Hemlock, one generation falling and crumbling into humus, for the next to grow upon the decaying leaves boughs and trunks and mosses forming a mass 10 to 15 ft. deep. I saw four trees growing astride one prostrate trunk.- such mosses and ferns!!You and the General must come to this fine wild Northland. How little it is known, I have but a moment to write and you will excuse this hasty scribble. I will probally visit the Stickine Glaciers and will be in Port Townsend in a month from
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.887 | 0.803 |
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".