Bibliographic record
Abstract
3 and labor could crush or outweary me. I should like to collect plants or minerals or insects or to prepare a work upon the trees of this coast, or to take part in any exploring expedition in which there was work that I was capable of doing. You request a sketch of my life. Well, here are the outlines. I was born thirty-two years ago at Dunbar Scotland where the romantic Forth dies in the sea. Twenty-one years ago my father emigrated to America with his family, landing at N. York. He groped his way westward to Wisconsin and settled upon the edge of a rushy, lily lake where no bird or plant was trodden or disturbed, in one of the dearest and most adorned of all the earthly mansions of the Lord. Here I lived eleven years reading Nature in the fields, and books by the winter fireside. At the age of twenty-two I left the old homestead with all of its ferny meadows and broidered hills and entered the State University at Madison where I remained four years pursuing a select course mostly in mathematics and Natural Science. Since that time I have lived a life of free unmeasured terrestrial glory in God's gardens of unconfused beauty and grandeur, and my glorious existence was discharmed only when the want of bread and clothing compelled me to creep doubtfully forth into the mixed glare and clang of this uneasy Anglo-Saxon civilization. I walked alone through the high cold swamps of Canada West, and the dark level forests of Arbor Vitae which enclose them where dwells sweet Linnea and Calypso and Calopogon; also the sunny orchard woods of Wisconsin, and the waving flowery
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.910 | 0.861 |
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".