Sketch of the Military Reserve at Niagara, 1835
Bibliographic record
Abstract
Historic map of the “Military Reserve at Niagara shewing the mode in which it is proposed to let the Ordnance premises now occupied by the establishment.” The map shows a section of the Town of Niagara (Niagara-on-the-Lake) at the cross streets Queen and King. Military buildings such as Navy Hall, artillery barrack’s and officers’ quarters are shown, as are military forts such as Fort George and Fort Mississagua (sic). The land is divided into lots, some of which are labelled. Land grants are indicated: “Granted to Catholic Church” and “Granted to English Church”. Also of note are land occupancies: Niagara Harbour and Dock Company, and J. Crook's. A large section of land, divided into unlabeled lots has a written title: “Reserve – This part of the Reserve was laid out in Lots in 1796 by Lieut. Pilkington. R.E.” and “This uncleared part Chiefly Young Oak”. Handwritten text on the map reads as follows: “To accompany the Report of the Commanding Royal Engineer to His Excellency the Lieut. Governor of Upper Canada on the subjects of the Military Reserve dated 10th July 1836. Copy of a Plan sent with the Respective Officers Letter to Wm. Byham of 14th December 1835.”
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.201 | 0.052 |
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".