The Rise of Homelessness in Canada
Bibliographic record
Abstract
Homelessness is a cycle of destruction. An individual experiencing homelessness moves throughout our country struggling to find the one resource that may trigger a resolution to the destruction they fight every day. The Canadian Ministry of Housing and Diversity and Equality strongly believes that one of the biggest battles for Canada to fight is within the borders of our own country. The battle is a daily struggle for dignity from the face of destruction fought by 235,000 brothers, sisters, mothers, grandfathers, nephews, and our own children. Canada can win the battle with a solution that bolsters our economy, increases access to services, and houses those most desperately needing a place to call home. Chez - Soi was a government funded research project that proved successful in ending homelessness for the individuals involved, but has ended with the end of the research grant. Moving forward I believe the answer to the problem is being able to restart this project permanetly until homelessness is ended in Canada.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.025 | 0.005 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 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".