Bibliographic record
Abstract
This thesis examines spatial patterns of transit travel to the downtown core of Greater Vancouver. The study is placed within the context of earlier case studies of Vancouver's urban structure and also draws on notions of spatial interaction. In this context, the study qualifies the functional relevance of traditional models of urban spatial structure and urban transportation, which provide a basis for understanding movement to the core of the modern city. Cartographic analysis found transit travel patterns to the downtown core to be structured by distance from the core, with friction-free inner zone of 3 to 5 miles generating high per capita trips to the core and a rapid drop-off in trips per capita beyond this zone; and by socioeconomic variation in radially organized residential areas within this inner zone or "core ring". It was also demonstrated that sub zones of the downtown core were directionally oriented to socially defined residential sectors within the "core ring". This confirms findings of earlier case studies of the spatial structure of Greater Vancouver and the functional role and relationships of the downtown urban core. However, the initially identified relationships were only partly supported by subsequent statistical analysis. This suggested problems resulting from the unsuitability of using aggregate data collection unit information (traffic zones) to model functional associations underlying spatial interaction; this indicates a direction for further research. It is also suggested in conclusion that the 'core ring' model of Greater Vancouver deserves more study, particularly in view of its implications to transportation planning in this metropolitan area.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".