Design vocabulary and schemas for biophilic experiences in cold climate schools
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.
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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 | 0.011 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.003 | 0.029 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".