Bibliographic record
Abstract
Todd Saunders (1969) is one of the most important young contemporary Canadian architects working internationally. His architecture, simple yet powerful, incorporates elements of his country’s architectural identity – including the use of wood and carefully picked Modernist influences – bringing it at the same time into the 21st century with excellent execution, carefully chosen materials and a hands-on approach. Saunders (he lives and works in Bergen, Norway) has successfully executed work in both Canada, Norway, and Finland, creating architecture with a strong sense of northern identity, an individual approach that is informed by the strongness of natural landscape. The most important projects: Aurland Lookout, Long Studio, Fogo Island, Tower Studio, Fogo Island, Squish Studio, Fogo Island and Villa G. The first reference monograph on a remarkable young architect working in Scandinavia and Canada. The monograph provides interesting unpublished documents, curated by Jonathan Bell (Architecture Editor, Wallpaper* magazine) and Ellie Stathaki (Deputy Architecture Editor, Wallpaper* magazine) as well as three interviews by Olaf Gipser, Zita Cobb, and Brian MacKay-Lyons. The artwork of the book is by the international renowned graphic designer Henrik Nygren.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".