Bibliographic record
Abstract
The relationship between the built environment, healthy living, people’s behaviour and health status is complex. Even so, cities and communities can be designed and built to set people up for success so that healthy choices are the easier choices. Studies suggest that green spaces are linked to a variety of health benefits including lower risk for premature death. Ties to the land, water, family, community and identity, as well as a holistic, interconnected view of health and well-being are important components of an integrated design project that can provide insight into healthy communities and building’s design. This project is to address housing and social connectedness while focusing on health and wellbeing of intergenerational urban communities. Reintroducing the most affected generations by housing affordability and social connectedness in Vancouver – seniors and young families – suggests a new kind of intergenerational urban family. In every community there is this need to integrate different generations, so the community can be whole. There is an unmet and growing market demand to live in complete, compact, and connected communities. Such communities are necessary to meet environmental, economic, and social planning objectives. This project aims to create a variety of different shared spaces with a range of unique qualities that promote different interactions between generations and increase social connectedness. This thesis project proposes a dynamic urban space typology addressing social connectivity through shared and transition spaces taxonomy. This strategy aims to put shared spaces and their social implications first, to encourage different scales of shared space, connectivity, social interaction, and to establish a sense of community.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.443 | 0.182 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".