Impact of biophilic design parameters on university students’ place attachment and quality of campus life
Bibliographic record
Abstract
In architectural practice and academic research, there is a growing concern about preserving the connectedness with nature on university campuses through biophilic design and maximising its rich impacts on students. Since place attachment (PA) and quality of campus life (QCL) are important factors affecting students, the current study aims to identify the impact of physical, visual, and auditory connections with nature (biophilic design parameters) on PA (place identity and place dependence) and QCL (self-reported physical health, mental well-being, social health, and academic success). Data from the survey of 378 university students were analysed using Spearman correlation and descriptive statistics. Results demonstrate that physical and visual connection with nature correlates with place dependence and self-reported physical health; additionally, the auditory connection with nature correlates with place identity and self-reported social health. The outcomes of the present study increase our understanding of the importance of biophilic design on campus, and offer practical implications and design suggestions for landscape designers and architects to enhance students’ PA and QCL.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".