Report of Thomas C. Keefer, Esq., C. E. on the water works of the City of Montreal.
Bibliographic record
Abstract
Ice difficulties.C Above summer J water Montreal f Harbour.When the ice has taken and attached itself to the banks of the aqueduct it does not rise with the sudden elevation of the St. Lawrence but is overflowed by it, its thickness and weight increased by the immediate freezing of the cold overflowing stream and by the conversion of its overlying snow into ice.The superincumbent weight then presses down this ice and a sudden fall in the river causes it to descend and again attach itself to the banks at a lower level, or else break and leave the broken edge forced down to contract the waterway beneath.With the contraction of the water way the strength of the incoming current to supply the wheels is increased, and then the frasil, which is stealing along shore, rising from the bot- tom or blown by the wind into the open unprotected mouth of the Aqueduct, is sucked under the Aqueduct ice and pressed up by its buoyancy to the underside of the latter where it attaches itself, thickening the sheet from below, or packing itself in upon the slopes.By placing the gates at the entrance, where provision is made for them, the fluctuations can be kept out of the Aque- duct, and by forming a large deep water basin, covered with ice, under which no frasil can form,-and which may be
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.069 | 0.006 |
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".