Bibliographic record
Abstract
The Greater Toronto and Hamilton Area (GTHA) is in a state of constant and massive growth in terms of population, development and economic investment. This growth has generated pressures both within and at the peripheries of the cities contained within the Golden Horseshoe as they develop outwards to their legal boundaries. This pressure has taken many forms, including an explosive and unaffordable housing market, transportation infrastructure that is already at or beyond capacity, and corporate development pressures to bulldoze and build over the Greenbelt, the provincially-protected ring of vital ecological systems and agricultural enterprises that surround the GTHA. \nWhile the province has established certain legal frameworks to mitigate the pressures of growth and manage its future manifestations, so long as the interests of powerful developers and corporations are at odds with the strategies contained therein, there remains a risk that these frameworks – and the public interests that they protect – will be undermined or repealed. \nThis thesis is positioned at the boundary between rampant suburban development and the protected biological, agricultural and economic resources of the Greenbelt and lays out a case study for hybrid large format commercial retail development that addresses the needs of commercial land developers, a growing suburban population, a changing boundary landscape, and the ecological and agricultural interests of the Greenbelt.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.442 | 0.095 |
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".