Photo album, St. Catharines area, ca. 1913-1919
Bibliographic record
Abstract
One photo album containing black and white photos. Many of the photos were taken in the St. Catharines area. Included are photos of Port Dalhousie, Port Weller, Niagara Falls, Niagara-on-the-Lake and St. Catharines. There are also photos of Braeside, Ont. and the Ottawa Valley. Various local landmarks are included, such as the Armoury in St. Catharines, Montebello Park, and Martindale Pond. Some of the events captured include a train wreck that occurred in St. Catharines in 1914, the visit of the Governor General to St. Catharines in 1914 (featuring the Carnegie Library and Post Office and Federal Building decorated with flags), and an airplane that crashed into a body of water, possibly a plane from an air training camp in Beamsville during World War I. There are also two photos of champion Niagara district basketball teams, possibly taken in the gymnasium building located behind the former St. Catharines Collegiate building (later Robertson School) on Church Street. One photo includes Norman Byrne, Gladys Ansell, Miriam Marshall, Irene Stoter (?), Mildred Houston, A. Gardner, and Madeline Jenner. The other photo includes George Moase, W. Bennett, Norman Byrne, Jack Bain, Mr. Brackenbury, Cyril Merriman, Jim Galway, Harry Erskine, and Roy Carpenter. Some of the other photos include Helen Marshall, Ralfe Clench, and Mildred Houston.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.618 | 0.225 |
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".