Bibliographic record
Abstract
[3] life of the Mother of Lamartine. These are beautiful things you say about the humble life of our Saviour and about the trees gathering in the sunshine What you say respecting the littleness of the number who are called to "the pure & deep communion of the beautiful all loving nature", is particularly true of the hard working, hard drinking, stolid Canadians in vain is the glorious chart of God in spread out for them - so many acres chopped is their motto, so they grub away amid the smoke of magnificent forest trees black as demons & material as the sod they move upon - I often think of the Doctors lecture upon the condition of the different races of men as controlled by physical agencies-, Canada though abounding in the elements of wealth is too difficult to subdue to permit the first few generations to arrive at any great intellect- ual development, In my long rambles last summer I did not find a single person who knew anything of botany and but a few who knew the meaning of the word; and wherein lay the charm that could conduct a man who might as well be gathering mammon, so many miles through these fastnesses to suffer hunger and exhaustion was with them never to be discovered. Do not these answer well to the person described by the poet in these lines. " A primrose by the river's brim, A yellow primrose was to him, And nothing more" - I thank Dr. Carr for his kind remembrance of me, but still more for the good patience he had with so inapt a scholar. We remember in a peculiar way those who first give us the story of Redeeming Love from the good-book of revelation, and I shall not forget the Doctor who first laid before me the great book of Nature, and though I have taken so little from his hand he has at least shown me where those mines of priceless knowledge lie and how to reach them.
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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 | 0.004 |
| 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 | 0.008 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.807 | 0.705 |
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".