Family as a Social Determinant of Health: Implications for Governments and Institutions to Promote the Health and Well-Being of Families
Bibliographic record
Abstract
A growing appreciation of the powerful impact of the social determinants of health, particularly the toxic effect of poverty on health, is driving the need for a re-evaluation of the role of governments and institutions such as hospitals in the lives of children and families. The well-being of families is the cornerstone on which society rests; yet evidence is growing that families are facing significant challenges beyond their control that adversely impact their ability to perform their essential role. With evidence of a growing divide in society--an expanding gap between the rich and the poor (Novak 2007)--contributing to a polarization of health and social outcomes along this continuum, there is an urgent need for revisioning priorities for health and social policies. Bold new ideas and leadership are needed to plan a future that encompasses social justice as a key value and operating assumption.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.012 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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".