Design vocabulary and schemas for biophilic experiences in cold climate schools
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This research explores a design approach for biophilic experiences applied to children’s learning environments in cold climates. The primary research gaps addressed are the confusion among principles, experiences and architectural characteristics in biophilic design literature; the lack of common terminology for referencing spatial patterns that induce biophilic responses; and limited design methods and generative approaches for designers due to the focus on empirical validation and broad theoretical generalisations. A visual biophilic design vocabulary, including spatial enclosure and adjacencies, is developed for experiences of abiotic and biotic nature. A framework is proposed for biophilic design schemas. In the context of renovating primary schools in Quebec, Canada, 38 schemas for cold climates are developed within this framework. Using these tools in an architectural design studio course showed that this common graphic language integrates experiences of nature in design processes, enabling researchers and architects to describe biophilic spaces with shared terms and logic.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it