Housing Vulnerability in Times of Crisis. Impact of the COVID-19 Pandemic on Service Needs and Implementation for Individuals Experiencing Housing Instability in Three Urban Areas of Quebec, Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
People experiencing housing instability were particularly vulnerable during the pandemic, with a limited capacity to meet their own needs and to implement public health measures mandated by public authorities. Community organizations had to adapt their social services in response. Based on qualitative research conducted in 2020 and 2021 with individuals experiencing housing instability (n = 35) and community workers (n = 20) in three urban areas of the province of Quebec, this paper analyzes not only the impact of COVID-19 on the daily lives of people experiencing housing instability, but also the ways in which community organizations have taken up the issue and reorganized their interventions. Using the Actor-network theory framework, the findings suggest that the pandemic increased housing vulnerability. COVID-19 further destabilized the primary needs of many service users, including food distribution and access to emergency shelter. While meeting these needs is essential, people also reported difficulties with social isolation and a lack of direct support from community workers. This suggests that housing security goes beyond simply having a home. Community organizations suggested solutions, including developing additional sites to support services outside of central areas.
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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 | 0.008 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it