The Economics of Being Young and Poor: How Homeless Youth Survive in Neo-liberal Times
Bibliographic record
Abstract
Based upon in-depth interviews with 34 youth in Halifax and seven service providers in St. John's, Montreal, Hamilton, Toronto, Winnipeg, and Calgary, the findings of this study suggest that labor occurs within a particular street context and street culture. Formal and informal work can be inter-related, and despite the hardships they experience, young people who are homeless or who are at-risk of homelessness can respond to their circumstances with ingenuity, resilience and hope. Often street-involved and homeless young people are straddling formal and informal work economies while mediating layers of external and internal motivations and tensions. The reality is that the participants in this study cannot very easily engage in formal work. There is a dearth of meaningful formal work available, and when living homeless there are many challenges to overcome to maintain this work. In addition, there are few employers willing to risk hiring an individual who is without stable housing, previous employment experiences and, most likely, limited formal education. Therefore, street youth are left with informal work that provides them with survival money, basic needs, and a sense of citizenship, but which also invites belittlement, harassment, and mockery.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.011 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| 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".