No. 2. Plan of that part of the Short Hills in the District of Niagara called the Mountain shewing those lots of grants of land in the 5th, 6th, & 7th concessions of the Township of Pelham in the County of Lincoln which are near the site of the new fortress as proposed in the report of M. General Sir James Carmichael-Smyth
Bibliographic record
Abstract
Historic map of a portion of land in Niagara featuring the “Short Hills” or “The Mountain”. North is oriented to the right. The land is broken into portions and labelled with the owner’s name and the number of acres. Roads are shown but not labelled. Beginning at the east side of the map is the notation: “4 Miles to Deep cut Welland Canal”. A large section of relief, indicated with hachures is labelled “The Wellington Heights”. This area appears to be chiefly chestnut tree forests. Near Wellington Heights is King George’s Battery, Mt. Niagara and Chestnut Ridge. Various other features are shown such as: buildings, farms, soil characteristics, forests and the types of trees they contain, businesses, mills, and a school-house. "Rl. Engineers Office. Quebec, 20th Nov. 1827, E.W. Durnford, Col. Coun. (?) Rl. Engineers, Canada” is written in the bottom left corner and "R.H. Bonnycastle, Capt. Royal Engineers" is written in the bottom right margin.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.503 | 0.354 |
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".