Niagara postcards and postmarks collection, 1904-1982
Bibliographic record
Abstract
A collection of postcards and envelopes, some containing images from the Niagara area or Niagara-area postmarks. Some of the items are unrelated to Niagara. Niagara postcards, 1905-1913. There are 15 postcards of the Niagara region. The postcards include images of Hotel Bon-Air in Crystal Beach; the landing at Crystal Beach; the Rock of Ages below the American Falls; Niagara Falls in winter; Ice mound at Niagara Falls; the old Welland canal near St. Catharines; the Niagara River from Queenston Heights; Brock’s Monument; cascade near the spring, Goat Island; the Grand River and canal in Dunnville, Ont.; Fort Erie [ruins]; Niagara Falls from the American side [Terrapin Point]; motor boats at Whitehall Club, Niagara River, opposite Buffalo; and the upper steel arch bridge, Niagara Falls. The postcards all contain writing with stamps and postmarks. Niagara postmarks, 1904-1982. There are 22 envelopes and 13 postcards. The postmarks include Stamford and Stamford Centre; Welland; Sherkston; Port Colborne; Allanburg; Merritton; Virgil; Bridgeburg, Thorold, and Stevensville. Other postcards and envelopes, 1904-1911. There are 9 postcards and 3 envelopes. Postmarks include Toronto, Shipyards, and Black Creek, Ontario.
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.504 | 0.493 |
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".