Homelessness within the COVID-19 Pandemic in Two Nova Scotian Communities
Bibliographic record
Abstract
Expanding the emergent literature on homelessness and the COVID-19 pandemic, this qualitative study presents a portrait of the homelessness sector in two Nova Scotian, Canadian communities: Halifax Regional Municipality and Cape Breton Regional Municipality. This research provides an understanding of the health and wellness of populations experiencing homelessness during the first waves of the COVID-19 pandemic, the processes involved in supporting populations experiencing homelessness during the pandemic, and determining what has worked, what has not, and required changes. The data will inform relevant emergency crises and disaster relief responses for those experiencing homelessness and those who are marginalized, vulnerable, and living on the fringes of society. What follows are the core themes, and lessons learned, along with recommendations that capture the narratives from a group of individuals experiencing homelessness throughout the pandemic and those tasked with developing, supporting, innovating, and funding the disaster responses in two Nova Scotian communities.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.004 |
| 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 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".