The Effects of Healthy Built Environments on Perceived Quality of Life
Bibliographic record
Abstract
The environment built around us by political and municipal governing bodies plays an important role in the general populations’ accessibility to resources needed for life satisfaction. By having a greater access to health knowledge, important amenities, and engagement in physical activity, our overall health and well-being can be improved. The goal of this study is to examine the walkability and accessibility within neighbourhoods and their effects on perceived quality of life in participants residing in Edmonton, Alberta. This research will further build on previous data obtained demonstrating direct linkage between neighbourhood walkability and increased health benefits. In addition, by improving overall health, communities can further increase the life satisfaction of its inhabitants through socio-spatial analysis. A rating calculated by the Walk Score algorithm will be used to identify the walkability of Edmonton neighbourhoods. This information will then be compared to secondary data obtained through a survey completed by the City of Edmonton (Edmontonians’ Perception Survey – Quality of Life Survey) to determine if the increased walkability within a neighbourhood has an effect on the participants’ perceived quality of life. Discipline: Mathematics Faculty Mentor: Dr. Karen Buro
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.
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 | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".