Plan of the Mouth of the Niagara River, shewing the relative Situations of Forts George, Missisaga, and Niagara
Bibliographic record
Abstract
Historic map showing The Niagara River and both the American and British land on either side. Fort Niagara is shown at the very tip of the American side, where the Niagara River meets Lake Ontario. Also shown is a road labelled: “Road to Lewiston” which runs south, parallel the river from Fort Niagara. On the British side of the river the land is labelled “Town of Newark”, present day Niagara-on-the-Lake. Text accompanying the name of the town reads: “burnt by the American Army in the Month of Dec. 1813.” Fort Misisaga [sic] and Fort George are shown at the north side of Niagara. Directly beside the mouth of the Niagara River a small strip of land is labelled “Sand Beach.” In the centre of the beach is a wharf, the Reo Store and a ferry house. South of the ferry house is a shallow pond. South of the pond is a notation: “American Entrenchment thrown up in the Summer of 1813.” Multiple buildings are labelled on the map, most of which were for military purposes. Two waterways running from Lake Ontario through Niagara are labelled; One Mile Creek and Two Mile Creek. Further notations are made on various locations on the map indicating dates that buildings were destroyed by the American Army during the War of 1812.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.195 | 0.057 |
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".