An overview of Halifax, Nova Scotia’s rental housing market
Bibliographic record
Abstract
Halifax, Nova Scotia is experiencing a major rental housing affordability and availability \nissue. Many Haligonians are under increasing financial pressure, posting their complaints via \nonline forums and on social media concerning the increasing living costs. In response the \nProvincial Government imposed a rent cap, limiting annual increase to 2% and preventing \n“renovictions”. The goal of this research is to look at the rental market across the Halifax \nRegional Municipality (HRM) exploring the geography of rental unit characteristics and prices. \nUsing web scraping techniques on Kijiji and collecting data from local developers’ websites the \nstudy employs a comprehensive dataset of up-to-date rental housing information in the HRM. \nAnalysing the database in GIS software shows high unaffordability throughout the North end of \nHalifax’s urban core and a lack of rental amenities available to those living inside the urban core. \nThe second part of this study dives into the difference between primary and secondary rental \nhousing in the HRM, observing secondary rental housing while being more expensive offer \ngreater amenities than primary rental housing.
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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 | 0.005 | 0.007 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".