The Experience of Emerging Adulthood Among Street-Involved Youth
Bibliographic record
Abstract
Abstract The Experience of Emerging Adulthood Among Street-Involved Youth tells the story of young people who were street-involved from their early to middle teens and into their 20s, particularly their experiences of emerging adulthood while struggling toward young adulthood and independence. These youth experienced emerging and early adulthood earlier than other youth while living independently of guardians, detached from formal education, and working in the underground economy. After leaving their guardians they were choosing how to be different than their family, learning to cope with instability, and enjoying and protecting their independence, and they experienced some satisfaction with their ability to manage. As one youth stated, “away from my family, I learned that I was not stupid.” Their success was facilitated by harm reduction services, like access to shelter and food, that gave them time to experiment with living independently and to practice being responsible for themselves and others. Later they began to prefer nonstreet identities, and they began to think about their desires for the future. The distance between their current lives and those aspirations was the experience of feeling “in-between,” and progress toward their aspirations was often complicated by past experiences of trauma, current experiences of exclusion, coping with substances, and the mismatch between their needs and available services.
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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 | 0.001 | 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 | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".