A moral case for universal healthcare for runaway and homeless youth
Bibliographic record
Abstract
Purpose Runaway and homeless youth (RHY) are among the most vulnerable youth globally. The United Nations Convention on the Rights of the Child (UNCRC) states that all children have the right to the highest level of health, and that universal healthcare rights are afforded to RHY and all children. Social determinants of health (SDH) are universal factors that frame the experiences of RHY as facilitators or barriers for accessing healthcare. The purpose of this paper is to describe practical best approaches, and policy recommendations, for improving clinical care systems to make healthcare more accessible to RHY. Design/methodology/approach The authors describe and apply an adapted socio-ecological framework that includes SDH specific to RHY around the globe. Findings There are multiple and complex factors in the social ecology of RHY that determine their chances of accessing healthcare. While many intrapersonal reasons for homelessness are the same globally, systems of care vary by country and by developing/developed country status. Structurally competent care systems offer a new lens for how to best provide care to RHY to take into account SDH and the unique needs of RHY. Originality/value The UNCRC serves as a moral guide and frame of universal child healthcare provision for countries around the world. The authors uniquely argue for UNCRC, tailored-SDH, and care delivered in a structurally competent manner to make a moral case for both physical and mental health for all RHY.
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 | 0.017 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.018 | 0.076 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.002 | 0.017 |
| Research integrity | 0.009 | 0.014 |
| Insufficient payload (model declined to judge) | 0.003 | 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".