Near-elderly single-person households in core housing need : linking housing support to the severity of housing need
Bibliographic record
Abstract
Canada Mortgage and Housing Corporation (CMHC), the federal agency responsible for addressing the housing needs of low and moderate-income Canadians, considers those who are unable to secure physically adequate and uncrowded accommodation without spending more than 30% of their gross income to be in core housing need. This thesis analyzes single-person renter households determined to be in core housing need. Whereas the elderly (65 years and older) among core housing need singles are relatively well supported through CMHC's social housing programs, non-elderly core need singles generally do not receive support. Using an analytical framework that focusses on the severity of housing need, and by comparing the socio-economic profiles of selected age groups within this core housing need category, the study has demonstrated the existence of severe housing need, as defined by CMHC, among non-elderly core need singles and has established that the near-elderly (aged 50-64) are in the greatest need among all core need singles and are, therefore, in greater need compared to the elderly. In view of a data base upon which the allocation of assistance to at least those in the greatest need among non-elderly core need singles can be justified, it is argued that CMHC as well as other government agencies and housing support groups must acknowledge such evidence, consider a re-evaluation of priorities and take appropriate action to the extent possible in light of current fiscal restraint . Several suggestions are put forward to this end.
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 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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".