‘Intervening early’: agendas and rationalisations for children’s developmental health
Bibliographic record
Abstract
Background: Despite broad scientific consensus about the importance of the early years in the lifelong health and wellbeing of children, there is debate about whether and how healthcare professionals can optimise early child development through monitoring or screening. The evidence in support of a systematic population-level intervention is disputed, which is reflected in the diversity of approaches to developmental screening internationally. Methods: Using a case-study design, and interpretive qualitative methods, we explored how Canadian experts in child health (n=39): a) rationalise why they do, or would, pursue population-level developmental screening; b) articulate the policy goals of such an intervention, and; c) justify the practice with reference to evidence. Findings: Respondents identified three distinct framings, or policy agendas, for what developmental screening can and should seek to achieve, specifically: 1) as medical intervention, facilitating the early identification of health risk or disorder; 2) as social intervention, providing an opportunity for communication and connection with parents for all children; and 3) as political intervention, staking a claim for early child health on the broader political agenda. Discussion and conclusions: Each agenda is justified by distinct types of evidence, posing a challenge to simplistic models of evidence-based policymaking, and demonstrating that evidence is not just an input, but a contested part of a dynamic and political policymaking process.
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How this classification was reachedexpand
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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".