Storying the street: transition narratives of homeless youth
Bibliographic record
Abstract
Toronto Youth Street Stories is an innovative, web-based storytelling project that was conducted with homeless youths in Toronto. As a collaborative knowledge dissemination initiative, the project engaged youthful participants, authors, community mentors, youth service agencies and university-based researchers. Over 50 youths were encouraged to express their personal perspectives through author-led, creative writing workshops, resulting in youth-created stories, poems and pictures about a wide array of feelings and experiences. Across the dozens of pieces of writing, there is evidence of a chronology of street life, or an "arc of experience", that ranges from living with abuse and despair, leaving home, living on the street, experiencing a crisis or turning point, accessing services and gradually moving away from street life toward self-sustaining independence and security. This arc of experience includes the stories of youth who have transitioned away from the street as well as those still facing homelessness. This paper describes this arc of experience and illustrates it with the subjective material generated by the youths' stories about their lives on the streets of Toronto. We conclude that this project provided an important, creative outlet for the youths, and increased understanding of the challenges, stigma and resilience of homeless youth.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.010 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".