State of the Crisis, 2001: A report on housing and homelessness in Canada, by Michael Shapcott, for the National Housing and Homelessness Network, November 2001.
Bibliographic record
Abstract
State of th e Crisis, 2001: A report on housing and homelessness in Canada , by Michael Shapcott, for the National Housing and Homelessness Network and the Toronto Disaster Relief Committee, November 26, 2001. In this report: 1. Full funding for a new social housing program. . .2 2. Rising rents, dwindling supply. . .3 3. Nation-wide housing crisis. . .4 4. Canada’s homelessness disaster. . .10 5. Private sector housing programs. . .15 6. The solution: Restore funding. . .18 7. Tables. . .23 The solution: Restore funding for social housing The private sector is unable and unwilling to build sufficient affordable housing to meet the growing needs of low-income households. Voluntary groups, such as Habitat for Humanity, play an important role, but they too are unable to build in sufficient quantity. This year, Habitat for Humanity will build about 200 houses across the country. The group deals with the housing needs of moderate-income households and cannot meet the huge demand for new housing supply. It is no coincidence that the growth of the nation-wide housing crisis and homelessness disaster parallels the withdrawal of federal and most provincial governments from social housing funding. With no government funding to assist social housing providers create no units, and little new affordable private rental housing, the growing number of low-income households faced an inevitable squeeze. After considerable political pressure from a variety of groups, including the National Housing and Homelessness Network and its partners across the country, the federal government announced $753 million in funding for a new homelessness strategy in December of 1999. The money, including the Supporting Community Partnerships Initiative (SCPI), was supposed to go to short-term measures to provide emergency relief for the homeless. Many worthwhile local projects have been funded with the new federal money. Restore federal, provincial, territorial housing funding The National Housing and Homelessness Network is calling on federal, provincial and territorial governments to adopt the One Percent Solution: · $2 billion in new funding for social housing annually by the federal government, and · $2 billion in new funding for social housing annually shared among the provincial and territorial governments.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".