On thorough land drainage, and the results of actual operations in Canada.
Bibliographic record
Abstract
How little are we aware of, or do we appreciate the intimate relationship*, and similarity which exist, between the animal and vegetable world.This.similarity is shown in an almost startling manner by the investigations of che- mists, who in their researches have proved that one of the necessary constitu-' ents in the formation of all animal, as well as vegetable bodies, is sulphur, and that the sulphur compound dissolved in the juice of plants is identical with the albumen contained in the serum of the blood and in the while of an egg; hat ' the sulphur compound in the seeds of the cereals, possesses the same proper- ties and composition as the fibrin of the blood, and that the nutritious constituent of peas and beans is actually of the same nature and composition as the casein of milk.'like effects in the many pests to which our grain crops are found liable ,J;",tn become the victims.Could our soils at some limes be i'vvkul from Jtoo great humidity, atothers Furnished ^ith sufficient moisture and , 'Otherwise fed, strengthened and supplied by judicious cultivation, the plague *./qf rust and mildew, and the ravages of t e midge and other insects would have WVfittle power to affect them.Io order successfully an<l effectually to accomplish I./.tiie former of these operations, there has been invented, developed, and perfected **' Yhe science, I may call it, of underdrainiug, which has been thoroughly and
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".