Rickson Outhet: Bringing the Olmsted Legacy to Canada. A Romantic View of Nature in the Metropolis and the Hinterland
Bibliographic record
Abstract
Frederick Law Olmsted, the designer of New York’s Central Park and Montreal’s Mount Royal Park and the firm he created completed a small number of projects in Canada, but his vision of landscape architecture profoundly influenced landscape design in this country, largely because of three men who trained with his firm and then practised in Canada. The least known of this trio is Rickson Albert Outhet (1876-1951), Canada’s first native-born professional landscape architect. The recent discovery of Outhet’s papers offers scholars, for the first time, an intimate picture of a Canadian design pioneer and an opportunity to assess Outhet’s contribution to landscape architecture. This foundational article may assist future research in Canadian landscape architecture and urban design, but more importantly it helps place Outhet’s work within the grander romantic tradition that influenced a broad range of Canadian creative expression in the late nineteenth and early twentieth centuries.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.040 | 0.013 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".