SUSTAINABILITY LESSONS FROM VERNACULAR ARCHITECTURE IN FREI OTTO'S WORK: TENTS AND GRIDSHELLS
Bibliographic record
Abstract
Abstract. Frei Otto is usually linked in the historiography of modern architecture to the German Pavilion for the Montreal Expo and the Olympic Stadium in Munich, a couple of works that have typically been regarded as predecessors of High-Tech architecture. But his contribution to architecture goes far beyond these worldwide famous works and can better be traced in his rich experience at the Institute for Lightweight Structures in Stuttgart, as an insightful observer of natural and man-made objects and as an investigator of the relationship between form, force and mass. He has developed new types of structures which often refer to primitive building types and can therefore be easily found in vernacular architecture: tents, nets, gridshells, branching constructions, folding roofs, umbrellas, as well as pneumatic and suspended constructions. All of them are the outcome of a very thorough process of investigation at his institute, which usually also included a survey of these building types in vernacular architecture. The target of this paper is to explore this relationship, and to test whether the strive for lightness can be regarded as a common ground between vernacular architecture and Frei Otto's work. In any case, his endeavour to get the maximum with the minimum, to achieve a lot from a little, is also a key target of sustainability and an essential feature of vernacular architecture.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.028 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".