illustrated, and descriptive walk notes for the tourist or bushwalker. 125 Years The Story of the State Savings
Bibliographic record
Abstract
"Trend Houses "- built across Canada by a consortium of British Columbia lumber manufacturers in the early 1950s; glossy 32-page brochure; The Trend House program began in 1951 with the intention of generating interest in the East for West Coast architectural styles using B.C. lumber. Originally, only one Toronto exhibition home was built, but, based on the more than 200,000 visits to the 1,000-square-foot house at 48 Rathburn Rd. in Etobicoke (now demolished) in the spring and summer of 1952, it was decided to expand the program across the country. While the Toronto house had been designed by a Vancouver architect, designs for the 10 additional houses in Victoria, Vancouver, Edmonton, Calgary, Regina, Winnipeg, London, Montreal, Halifax and a second in Toronto were to be handled by local architects. Through his family ties to the lumber industry, Mr. Goodfellow-- a McGill University graduate and existing-navy sonar operator-- was awarded the contract in 1953 for a house to be built in what was then called Beaurepaire. 100 Popular Pictures Spielmann, M.H ( & FISH intro & notes)) 1910 First Edition Hardcover. 10 3/4"X15". A beautiful collection of reproductions. Viii, 100 pages of text. Each page of text
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 | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.543 | 0.291 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".