A roof over your head is not a home
Bibliographic record
Abstract
This chapter explores youth homelessness in Canada, shedding light on the often-overlooked experiences of grief and loss young people live through. While homelessness among youth has become a pressing social issue, with an estimated 30,000 to 40,000 young people experiencing homelessness each year, the emotional toll it exacts remains poorly understood. This chapter seeks to address this gap by examining the nuanced challenges of grief and loss within the lives of young people experiencing homelessness. Drawing upon empirical research and the narratives of researchers working in the field of youth homelessness, this edited dialogue uncovers the layers of personal loss and adversity that young people face. From leaving unsafe family environments to enduring abuse, involvement with child protection services, victimization, and challenges in education, the reasons behind youth homelessness are numerous. Moreover, the transient nature of homelessness compounds the losses experienced, leading to the absence of stable homes, friendships, educational opportunities, and connections to family and community. Delving into these themes provides a deeper understanding of the emotional impact of youth homelessness, highlights the losses, and emphasizes the importance of supportive interventions and policies. The chapter also explores efforts to prevent youth homelessness and proposes practical steps for organizations and individuals to support youth experiencing homelessness on their path to healing and finding a sense of purpose.
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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 | 0.001 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.004 |
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".