City of Winnipeg Comprehensive Housing Needs Assessment, January 2020
Bibliographic record
Abstract
The primary purpose of this report is to provide a comprehensive assessment of current and future housing needs in the City of Winnipeg. Components of this assessment will include: Identification of trends related to housing supply and demand spanning the entire housing continuum; A more detailed analysis of the demand and supply circumstances for low- and moderate-income households and households requiring significant levels of support; Identification of housing gaps along the housing continuum, again with a focus on low- and moderate-income households requiring subsidies to make housing affordable or support services to address special needs; Identification of areas within the City where housing needs are most significant, the types of households most in need and the type housing supports required; and, Evaluation of policies at all levels of government that are designed to stimulate supply to address demand requirements and provide the necessary housing supports required. This report establishes a baseline understanding of the City’s current housing needs across the housing spectrum. It provides a strong starting point for informing the City’s housing policies and programs in both the short and long-term. But it is just that: a starting point. Housing need is dynamic; it is affected by a multitude of factors including changes in population, the economy, and public policy at all levels. Accordingly, in order to be responsive to the most urgent needs as they emerge, the City needs to actively monitor housing supply, demand, affordability, and the effect of its policies and programs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.053 | 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 teacher head, 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".