Climate Form Finding for Architectural Inhabitability
Bibliographic record
Abstract
This research aims to develop a design process through experimenting cold climatic fluxes with a combined tactile and digital approach to create new architectural forms. Through successive design stages, this experimentation intends to validate the habitability of these new typologies of forms shaped by climate, which could offer multiple architectural ambiances. This paper addresses the following questions: How can these new forms be transformed and manipulated through design stages to visualize their potential architectural inhabitability? How can the design process inspire architects and designers to engage a more tactile and digital reflection with climatic fluxes, such as wind and light? Physical models are produced through combinations of lights, materials and scales, which are then studied through photographic explorations to visualize their inhabitable potential of these new climatic form. Images are further contextualized through digital collages by inserting inhabitants and an external environment to create architectural renderings. The final result offers new visual images of lively climatic ambiances that suggest a more contextual relation to the environment and ultimately, a new representation of our relationship between winter and 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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".