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Record W3081829773 · doi:10.3390/su12177064

Biophilic Design for Restorative University Learning Environments: A Critical Review of Literature and Design Recommendations

2020· review· en· W3081829773 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSustainability · 2020
Typereview
Languageen
FieldEnvironmental Science
TopicUrban Green Space and Health
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsEnvironmental designHappinessPsychologyBuilt environmentUrban designArchitectural engineeringBuilding designDisciplineSociologyEngineeringUrban planningCivil engineeringSocial psychologySocial science

Abstract

fetched live from OpenAlex

The influence of environmental design on people’s wellbeing and productivity has been well studied in some settings such as offices, hospitals, and elementary schools, but salutogenic and biophilic design in urban post-secondary educational environments remains understudied and warrants closer investigation. There are unique challenges faced by these students and implementing health promoting and restorative, environmental design strategies could improve the quality of life and learning outcomes of university students. This paper identifies pertinent themes in published multi-disciplinary literature relating to the influence of the built environment on university students: emotional stress, happiness, stimulation, cognitive function, social support, belonging, places to study, lighting, and ventilation. The results of the semi-structured literature review identifies, analyzes, and categorizes relevant studies that examine nature views, nature images, natural colors, natural materials, auditory and olfactory aspects of nature, nature images with water, indoor plants, campus landscapes, study spaces, local materials and style, daylight access, and thermal and environmental comfort. These are organized according to the biophilic patterns identified by Browning, Ryan, and Clancy. Trends and gaps in understanding the influence of biophilic design on university settings are discussed, and the paper identifies evidence-based design recommendations for incorporating biophilic design in university settings.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.978
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.063
GPT teacher head0.344
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it