Balancing intensification and open space in the Greater Golden Horseshoe area
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
As cities grow and intensify to accommodate the needs of growing populations, the availability of open space becomes increasingly important. Studies increasingly support the value of including nature and other open spaces within cities for health, social, environmental and economic reasons demonstrating the importance of incorporating open space into intensification plans. The Growth Plan for the Greater Golden Horseshoe (GGH) describes growth policy and intensification requirements in southern Ontario to 2041. Through an exploratory case study of urban growth centre municipalities in the GGH, the balance of intensification and open space is explored through a document review and interviews with municipal staff. Using grounded theory analysis, findings suggest that while open space may not be lost due to intensification, parkland dedication, public access to private spaces and fostering the public realm will play an important role to meet the open space needs of future growing populations.
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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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