Public Spaces in Healthy Urban Living Environments According to The Dimensions of Health Places and The Spatial Characteristics of Vital Environments
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.
Bibliographic record
Abstract
The physical and social structure of urban residential areas is affected by public open spaces in positive and negative ways. Public spaces serve as the basis for the growth of urban life that promotes physical activities and social relations. The research addressed the problem of lack of knowledge about the mechanisms that contribute to achieving healthy and lively public places according to spatial characteristics. It aimed to develop and improve public places through a more comprehensive knowledge of the effective spatial characteristics that contribute to enhancing the value of public places. The research assumed the existence of a correlation between vital spatial characteristics and healthy environments. For the purpose of testing the hypothesis, the theoretical framework extracted was applied to models of public places in international countries, Such as Canada, Japan, Algeria. The research adopted a qualitative descriptive approach to verify the hypothesis. The results showed that there is a relationship between health and vital environments that helped provide dynamism to the functioning of urban space and can be used as a criterion for measuring the effectiveness of public places.
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 it