Historical development of subsurface drainage in Quebec from 1850 to 1970
Bibliographic record
Abstract
Despite its beginning in the 1850’s and being first in Canada to purchase a tile drainage trencher, subsurface drainage of agricultural lands in Quebec is poorly documented, which the present paper will try to document from 1850 to 1970. In Quebec, Catholic priests and monks played an important role in educating rural communities by establishing French agricultural schools throughout the province. For the English rural communities, Macdonald College (Macdonald Campus of McGill University) played a major role especially in preparing plans, besides promoting the technology. The Quebec Ministry of Agriculture encouraged subsurface drainage early in 1912 but would prefer investing in land clearing and watercourse deepening to establish more farms, from the employment needs created by WWI, the great 1930 depression and WWII. This work mostly completed in the early 1960’s, the Quebec Government would then initiate a major subsurface drainage program, allowing private enterprises to take over shortly after 1967. Although the Ministry changed names several times even after 1967, the term ‘Ministry of Agriculture’ will be used throughout this article. To compare trencher performance, a 15 m average spacing is presumed. This paper is limited to the main events and persons involved, without being able to cover them all.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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 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".