Bibliographic record
Abstract
Over the last decade gentrification has demanded a great deal of attention from urban scholars. In spite of this attention, the literature is characterized more by speculation than answers especially with regards to gentrification's consequences and planning implications. In response to this deficiency, this thesis sets out to determine the effects of gentrification on inner city neighbourhood public service demand. Because it is not clear how gentrification affects public service demand, urban policy makers are unable to plan for changes in demand. Knowing what will be demanded could facilitate efficient delivery of new services and efficient closure of costly underused services. Moreover, knowing what will be demanded may help decision makers arrive at better informed decisions. A case study area, Vancouver's Grandview Woodland, was chosen because it was able to provide a sample of gentrifiers and of traditional inner city residents. Forty one gentrifier and forty one traditional resident households were interviewed using a questionnaire designed to gather information about each group's demographics, satisfaction with street and traffic conditions, and their use of, satisfaction with, and attitudes toward neighbourhood public services. The attitudinal data indicate that gentrifiers value neighbourhood amenities such as parks, good street and traffic conditions, and other public services significantly more than the traditional residents do. This is expressed in their positive and negative perceptions of the neighbourhood's characteristics. There is also evidence that the gentrifiers are motivated to secure the public services they desire, for they feel that the services which they use are very important to their households. The behavioural data indicate that the gentrifiers present greater demands for parks, family centres, public health clinics, tennis and racquetball courts, and community centres. They only decrease demand for ethnic centres, and they maintain demand for other neighbourhood public services.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".