The unseen Wilderness - reconnecting humans with nature in interior spaces
Bibliographic record
Abstract
In response to the challenges related to implementing natural objects in architectural designs, this practicum proposes recreating the Wildness (Cronon 1996), which means the experience of nature, as an alternative way to connect humans with nature in the built environment. Reviewing Wildness through the lenses of Martin Heidegger’s Being-in-the-World and Maurice Merleau-Ponty’s Phenomenology, nature is not perceived by preserving and observing natural objects like plants and water but by the embodied experience. Edmund Burke’s Sublime and Stephen Kellert’s Biophilia theories are examined through the idea of Wildness to identify common spatial characteristics of nature. Adopting Peter Zumthor and Juhani Pallasmaa’s phenomenological design approach that recreates the embodied experience of a place through architectural elements that constitute a building, this practicum tests identifying the Wildness in different natural settings with specific senses, feelings, and spatial conditions to inform the designs of materials, light, scale, movement, and details in three hypothetical interior spaces. The investigation also considers how the design elements may evoke the memory and imagination of nature to deepen the embodied experience and connect humans with nature.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.050 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| 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".