A Systematic Review of Architectural Atmosphere That Fosters Mindfulness Constructs
Bibliographic record
Abstract
This study explores how architectural atmosphere can foster mindfulness constructs in response to the growing mental health crisis. Mindfulness, known for improving mental health, reducing stress, and enhancing overall well-being, is increasingly recognized as a potential solution to mental health challenges. However, research on how architectural atmosphere supports mindfulness is limited. This study systematically reviews architectural atmosphere features that promote mindfulness constructs, which includes awareness, openness, attention, focus, connection, and calmness. A literature review was conducted using the Scopus database, following PRISMA guidelines for transparency. Fifty-three articles were selected, focusing on mindfulness features in architectural atmosphere: awareness (4), openness (1), attention (28), focus (5), and connection (15). No studies were found on architectural atmosphere fostering calmness. The findings suggest that architectural atmosphere plays a significant role in supporting mindfulness, but further empirical studies are needed to validate these results in real-world contexts.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".