Forming a Parent And Clinician Team (PACT) in a cohort of healthy children
Bibliographic record
Abstract
BACKGROUND: Engaging parents in child health research can facilitate choosing relevant research questions, recruiting participants who reflect the diversity of large communities, and disseminating study results to communities in accessible ways. MAIN BODY: Primary care well-child visit systems present a foundation for trusting relationships between families and clinicians, lending itself well to a system where health research is embedded into the delivery of health care. We provide an example of a practice-based research network called TARGet Kids!, which is a longitudinal cohort study of children from birth to adolescence. Researchers and clinicians have partnered with parents of children participating in TARGet Kids! to ensure child health research is centred on family values and preferences. A Parent And Clinician Team (PACT) was formed to set research priorities, co-design research protocols, troubleshoot issues, and communicate research to knowledge users. CONCLUSION: This partnership will facilitate child health research which is feasible, relevant and inclusive for improving children's health care and public health policy.
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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 | 0.011 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.009 | 0.010 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".