Chisholm's all round route and panoramic guide of the St. Lawrence, the Hudson River, Trenton Falls, Niagara, Toronto, the Thousand Islands and the River St. Lawrence, Ottawa, Montreal, Quebec, the Lower St. Lawrence and the Saguenay Rivers, the White Mountains, Portland, Boston, New York.
Bibliographic record
Abstract
How long this state of things may remain it is impossible to conjecture, as lager beer saloons, pleasure gardens, and restaurants are daily being raised here.Just above Mnnhattanville, a small village, and, one of the suburbs of New York, chiefly occupied by the poorer class of people, is Trinity Cemetery, where, among many others, lies Audubon, the celebrated naturalist, who has also given the name to a small village of about twenty or thirty acres where he used to live, but which, since his death, has been cut up into building lots, and still retains the aristocratic name of Audubon Park.Just beyond this park a large building, surmounted by a cupola, and having a tower F. E. MORSE,
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.404 | 0.244 |
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".