The moral foundations of child health and social policies: A critical interpretive synthesis
Bibliographic record
Abstract
Abstract Background: Allusions to the uniqueness and value of childhood abound in academic, lay, and policy discourse. However, little clarity exists on the values that should guide child health and social policymaking. We review extant academic literature on the normative dimensions of child health and social policy to provide foundations for the development of child-focused public policies. Methods: We conducted a critical interpretive synthesis of academic literature on the normative dimensions of child health and social policy-making. We employed a social constructivist lens to interpret emergent themes. Political theory on the social construction of target populations served as a bridge between sociologies of childhood and public policy analysis. Results: Our database searches returned 14,658 unique articles; full text review yielded 72 relevant articles. Purposive sampling of relevant literature complemented our electronic searches, adding 51 original articles, for a total of 123 articles. Our analysis of the literature reveals three central themes: potential, rights, and risk. These themes retain relevance in diverse policy domains. A core set of foundational concepts also cuts across disciplines: well-being, participation, and best interests of the child inform debate on the moral and legal dimensions of a gamut of child social policies. Finally, a meta-theme of embedding encompasses the pervasive issue of a child’s place, in the family and in society, at the heart of much social theory and applied analysis on children and childhood. Conclusions: Foundational understanding of the moral language and dominant policy frames applied to children can enrich analyses of social policies for children in a range of sociopolitical contexts. Our proposed schema of values, and allied exploration of their points of consonance and tension, is an important step in efforts to gauge social policy prescriptions not only by measures of outcome but also by evidence of their alignment with social values.
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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 | 0.082 | 0.101 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.021 | 0.014 |
| Science and technology studies | 0.009 | 0.037 |
| Scholarly communication | 0.022 | 0.020 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.005 | 0.007 |
| 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".