Preventing Youth Homelessness in the Context of Covid-19: Complexities and Ways Forward
Bibliographic record
Abstract
The coronavirus (COVID-19) pandemic has magnified detrimental social and health experiences and consequences for youth at risk of or experiencing homelessness. Recent research indicates that heightened household tensions due to stay-at-home orders, coupled with pandemic-related financial insecurities, have worsened pre-existing factors for many young people, particularly for those experiencing stigma and violence. As a result, it can be projected that the risk and experience of youth homelessness will intensify. In spite of this, there has been scarce attention to the impacts the current context has on these vulnerable groups. This commentary aims to bring attention to the prevailing issues and challenges faced by youth at-risk of homelessness during the COVID-19 pandemic and provides crucial considerations for preventative solutions by incorporating the Roadmap for the Prevention of Youth Homelessness Framework. Based on research across fields, we offer insights for equity-focused, collaborative interventions, focusing on the education and social services sectors.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".