Factors Affecting Residential Property Values in a Small Historic Canadian University Town
Bibliographic record
Abstract
The town of Wolfville, Nova Scotia is a small historic community, economically dominated by Acadia University. It is located on the north slope of a ridge, affording views of the Minas Basin, at the eastern end of the Bay of Fundy. The upper boundary of the town is a major provincial highway. A set of sound level observations was used to generate average and peak sound level profiles for the town. Average and peak sound level, as well as presence of a view were included in a hedonic regression of property values. View and average sound level were not statistically related to home price. However, peak sound level is priced, with a one decibel increase reducing the average house price by about two percent. Beyond conventional variables such as age and living space, the zoning classification of the property was found to be highly significant, with homes zoned for single family residential only commanding the highest price. Given the high population of student tenants in Wolfville, tenants unlikely to live in areas zoned single family residential, these results suggests that rental externalities - either due to student tenants or landlord practices - are having a strong negative impact on property values.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 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".