Addressing Homelessness and Housing Crisis in Windsor-Essex County
Bibliographic record
Abstract
As a longstanding democracy, Canada has been a staunch advocate for human rights, including the right to affordable housing. By ratifying the International Covenant on Economic, Social, and Cultural Rights (ICESCR) in 1976 and assenting to the National Housing Strategy Act in 2019, Canada affirmed its commitment to the progressive realization of the right to housing as recognized under international human rights. Despite acknowledging the right to affordable housing, homelessness remains a social concern in many cities across Canada, including Windsor-Essex County. This research paper, therefore, analyses the homelessness situation in Windsor-Essex, taking into consideration the causes, programs, and policies implemented in combating homelessness as well as the challenges to addressing homelessness. This paper finds that although the City of Windsor is addressing homelessness through diverse programs and policies such as emergency services, rent subsidies, and the Housing First Program, there are still financial and structural challenges that impede the fight against homelessness in Windsor-Essex. Thus, this paper recommends tackling homelessness through continuous investment in affordable housing, increasing public awareness and financial support for program operators, and preventing unlawful evictions.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".