The NB Housing Summit: Solutions to Promote Housing Affordability in the Mid-sized City of Saint John, New Brunswick
Bibliographic record
Abstract
Canada is in the midst of a national housing crisis that renders households vulnerable to unstable and unaffordable housing, and various forms of homelessness. New Brunswick is a largely rural Canadian province with three mid-sized cities that have lower housing values than larger Canadian centres. However, affordability is eroding in the province’s housing market, and the rental market offers few options for low-to-moderate-income renters. Simultaneously, visible homelessness and encampments are on the rise. Saint John, one of the mid-sized cities, is a relatively new destination for housing market investment and interprovincial migration, which is leading to higher rents and housing purchase prices. Through an analysis of World Café data collected with 85 individuals (representatives from government, people with lived experience of housing instability, non-profit agencies, housing developers, etc.) in Saint John, New Brunswick, this paper presents locally driven, on-the-ground solutions to the housing and homelessness crises in a mid-sized city.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".