Bibliographic record
Abstract
This Major Research Paper conducted analysis of social housing policies and regulations in Ontario from 1993 to present. It was done to unearth the dominant discourses that informed social housing policies. Through a review of the Literature, a broader perspective will be had on social housing as well as social assistance, of which is deeply intertwined with social housing. The lack of a national strategy on social housing has caused Toronto to adopt a more entrepreneurial approach to housing, using public private partnerships, social mix revitalization initiatives, and other market and third sector influenced development mechanisms. Social policy has been neoliberalized in Ontario at least since the advent of the ‘Common Sense Revolution’ in 1995, when a Conservative government was elected on a platform of neoliberal reform. Since then social housing has not been given the priority it deserves even with the changing of government and promises to address the lack of affordable housing in Toronto. These findings highlight difficulties on the part of Toronto to develop new affordable housing at a time when the city continues to grow and demand for housing is increasing. The visibility of homelessness across the city suggest policy failures and a need to act, to address the problem of lack of affordable housing post haste.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.025 | 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".