Life begins in the garden: open spaces and livable environments of the Spence Neighbourhood in Winnipeg
Bibliographic record
Abstract
According to the landscape architect Dieter Kienast, the open spaces surrounding a home are crucial for a good quality of life (Freytag, 2021). These open spaces are the private garden, the front street, and the back lane. They play an essential role in the physical and social environment, and they are an integral part of peoples’ everyday life. Attractive and welcoming private gardens and public streets open the possibility for informal social interactions amongst neighbours, provide cozy and hospitable places for various activities, increase community belonging, and create a better human-nature relationship. The practicum will study the neighbourhood of Spence. It is an old residential area in downtown Winnipeg, Manitoba. An iconic feature in the area is the urban canopy. It provides numerous environmental and ecological benefits. But the health of the urban canopy is in decline due to pests and diseases. The degradation of the urban canopy has detrimental effects on public health, the overall spatial condition of the urban environment and community image. The practicum intends to develop suggestions and to provide inspirations to reconsider the design of private gardens, streets, and back lanes while taking good care of the neighbourhood’s urban canopy. The quality of outdoor spaces and the urban canopy is vital for a healthy and meaningful life. They can also increase the overall satisfaction with one’s home. The design outcomes are derived from careful examination of the neighbourhood context and the sequence of spaces from private to public.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".