Representations of a vast territory and complex history: diverse faces of contemporary mountain architecture in North America
Bibliographic record
Abstract
The vastness of territory that makes up the mountainous areas of the United States and Canada could be characterised more by its diversity than by any common trait. Different environmental, socio-cultural and historic conditions mean a wide array of architectural response strategies. Many elements play a role in dictating contemporary mountain architecture in North America. The ruggedness and remoteness of the mountain territories drives materiality and design influences. Land ownership ranges from private to tribal to federal and has an impact on the built environment, as does the historical context which spans from thousands of years of indigenous habitation to homesteaders and settlers in the last two centuries. Recent efforts to revive and preserve Native American traditions have seen an increase in indigenous influence on design, while inspiration from Europe and Scandinavia has likewise had an impact. The result of this myriad of influences is not a definable American mountain architecture style but rather a multifaceted diversity of approaches to design. The essay begins with an introduction to the diverse contexts of the mountain ranges in Canada and the United States, then illustrates the variety of approaches to contemporary architecture within the territory through examples projects from four architectural studios spread across the region.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.018 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".