Why Pediatricians Need Lawyers to Keep Children Healthy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Pediatricians recognize that social and nonmedical factors influence child health and that there are many government programs and laws designed to provide for children's basic needs. However, gaps in implementation result in denials of services, leading to preventable poor health outcomes. Physician advocacy in these arenas is often limited by lack of knowledge, experience, and resources to intervene. The incorporation of on-site lawyers into the health care team facilitates the provision of crucial legal services to vulnerable families. Although social workers and case managers play a critical role in assessing family stability and finding appropriate resources for families, lawyers are trained to identify violations of rights and to take the appropriate legal steps to hold agencies, landlords, schools, and others accountable on behalf of families. The incorporation of lawyers in the clinical setting originated at an urban academic medical center and is being replicated at >30 sites across the country. Lawyers can help enhance a culture of advocacy in pediatrics by providing direct legal assistance and case consultation for providers, as well as jointly addressing systemic issues affecting children and families. Until laws to promote health and safety are consistently applied and enforced, pediatricians will need lawyers to effectively care for vulnerable children.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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 it