Bibliographic record
Abstract
The following thesis investigates emerging issues surrounding car-centric design know as urban sprawl and questions whether or not it is feasible and appropriate for cities to continue sprawling in a car-centric manner given changing conditions. Social, political, environmental and economical concerns have surfaced putting a damper on the once great "American Dream" raising concerns that car-centric design can prove detrimental to humanity. The roots of modernist design are discussed and the ideas behind modernists' intentions analyzed while juxtaposing modernist vision to the real outcomes of modernism. Modernist ideas are compared and contrasted to new and old theories that challenge the modernist ideals in order to propose a new direction for future urban development. The design project takes into account the importance of connection and network through infrastructure in a globalized world. Transit infrastructure (high speed rail, improved commuter rail, rapid transit and light rail) is proposed on a number of scales in the Southern Ontario region to act as a catalyst for responsible growth interconnecting future intensified polycentric suburban cities.
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.029 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".