Ackermann’s Authentic Plan of Navy Island, the Village of Chippewa, and the Niagara River with the Principal Objects of Interest in the Vicinity of the Seat of War in Upper Canada.
Bibliographic record
Abstract
Historic map showing Upper Canada and New York, divided by the Niagara River from Lake Erie to Lake Ontario. New York sits to the east of the river and Upper Canada to the West. The first Welland Canal is shown west of the River beginning at Port Dalhousie and ending in Crowland. Points of significance to the American-British War are noted on the map, including: Fort Niagara, Fort George, Brock’s Monument, Military Roads, Chippewa, Beaverdams and Fort Erie. Possessions of the British and of the United States are indicated with grey shading. Place names, township boundaries, roadways and hydrological features are labelled. Other significant geographical sites and features are noted, such as: Niagara Falls, the Whirlpool, Navy Island, and Grand Island. Relief is shown by shading and the Niagara Escarpment is shown with hachures. A notation at the bottom of the map reads: “London, published 6th Feby 1838, by R. Ackermann, at his Eclipse Sporting Gallery, 191 Regent St.”
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.275 | 0.077 |
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".