A Conceptual Framework for Biophilic Architectural Design in Cold Climates: A Meta-Synthesis Analysis
Bibliographic record
Abstract
Biophilic design has traditionally evolved from temperate-zone contexts, where access to nature is more readily available, and has rarely addressed the challenges of extreme climatic conditions. The potential of biophilic design to enhance health and well-being in cold environments, where exposure to nature must adapt to low temperatures, limited solar radiation, and pronounced photoperiod variation, remains underexplored. This study conducts a systematic meta-synthesis of biophilic architectural design strategies in Arctic and Sub-Arctic regions, adopting the SALSA (Search, Appraisal, Synthesis, and Analysis) framework in alignment with PRISMA guidelines to ensure methodological transparency and reproducibility. Nine peer-reviewed studies published between 2019 and 2024 were analyzed using qualitative coding and synthesis in NVivo. The findings identify thermal comfort, daylight, and circadian regulation as the most influential biophilic parameters, while greenery and water features, common in temperate frameworks, were limited due to environmental constraints. Key interventions include adaptive envelopes, optimized window design, intermediate buffer zones, and materials that balance insulation with sensory enrichment. The study proposes an “Interventions–Parameters–Outcomes” framework that illustrates the interrelationships among biophilic strategies, health-related outcomes, and climatic adaptation. While all studies originated from northern Canada, the conceptual framework provides a transferable foundation for future empirical validation and comparative research across diverse cold-climate regions, contributing to the advancement of climate-responsive, human-centered design in extreme environments.
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How this classification was reachedexpand
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".