Mental Health and Poverty in Young Lives: Intersections and Directions
Bibliographic record
Abstract
This paper provides a conceptual synthesis of literature that addresses intersections of mental health, poverty, and school. It is based on a research synthesis for the youth policy framework for Ontario, Stepping Stones. The paper addresses research on challenges involving income inequality, poverty, and mental health that impinge upon school, and examines the enduring ill effects of these issues and academic struggles on young lives. It suggests practices that show promise to support youth. Findings suggest that transitions through school involve multiple developmental negotiations and are a critical site of slippages and successes. The paper ends with a set of reflective questions around age out (of the child and youth services system), the need to address stigma by animating the abundant character of young lives (addressing the subtleties and nuances of the life stories, biographies, and narratives of young people and their communities), the need for authentic collaborations across health and education, and working with and for young people as they collectively and individually determine and negotiate their lives.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.012 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.018 | 0.031 |
| Scholarly communication | 0.021 | 0.027 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.008 | 0.009 |
| Insufficient payload (model declined to judge) | 0.006 | 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".