Investigating residential scale applications of landscape ecology principles: The case of the A.P.A.O. rehabilitation design competition
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
This thesis investigates how principles of landscape ecology can inform site-scale designs of greenspaces in a residential-area context. The winning submission from the Aggregate Producer's Association of Ontario annual rehabilitation competition was used as a test case. An extensive literature review was conducted, key principles were identified and following recommendations, evaluations of the competition design's patches, edges, corridors and matrices were made. These evaluations determined a list of strengths and weaknesses regarding the design and hints about how a new landscape ecology-informed version would differ. Thus, a new design was created to demonstrate how landscape elements could be better connected and habitat areas improved to achieve a more responsive nature-human interaction in residential developments. This study demonstrates the significant relevance landscape ecology principles can have for built form in designed neighbourhoods. As key players in the facilitation and organization of such areas, landscape architects play a pivotal role in advancing current practice through similar applications. It also comments upon the merits of design competitions and the general knowledge held by stakeholders regarding the burgeoning field of landscape ecology.
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 | 0.001 | 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 | 0.000 |
| 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 it