Niagara documents collection, 1846-1957, n.d.
Bibliographic record
Abstract
The collection consists of correspondence, programs, financial documents, and brochures. Some of the material concerns Niagara. Niagara documents include an invoice from L.C. Woodruff, Paper Manufacturer and Dealer, for stationary, dated at Buffalo, July 8, 1867; an acknowledgement of payment of salary to the Town of Clifton from constable Bennet Hull, April 1, 1872; an invoice from the Town of Clifton to B.C. Lundy, January 9, 1872; a petition to the mayor of Clifton from local butchers requesting a refrigerator in the market-house, June 3, 1872; an invoice to G.W. Taylor, Mayor of Clifton, from the Queen’s Printer, Ottawa, 1872; invoices from the municipal electric light and power plant to the Steel Arch Bridge, 1912; invoices from the provincial natural gas & fuel company to the Niagara Ry. Bridge, 1912-1913; a letter to George Hulme, Thorold, from the Department of Railways and Canals, Welland Ship Canal, concerning a lease of land, July 20, 1933; a letter by the special deputy collector of customs in Niagara Falls, N.Y. introducing ex-sheriff George Lamey, July 20, 1912; a program of worship for Morrison Street United Church in Niagara Falls, Ontario, November 3, 1957; and brochures for the Skylon Tower and Seagram Tower in Niagara Falls, n.d.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.328 | 0.246 |
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".