Need for global core competencies in Child Health and the Environment: a Canadian perspective
Bibliographic record
Abstract
Children are the planet's most valuable resource. Mortality rates and longevity in children are improving; however, morbidity related to early-life exposures is increasing and with it health spending. A focus on identifying and addressing environmental components related to not only chronic childhood illnesses but also major adult mortalities would help contain current healthcare budgets. Child Health and the Environment (CHE) is an emerging discipline dedicated to managing early-life exposures (prenatal and childhood) on health outcomes throughout life. In Canada, as well as around the world, recognition of this area is growing, but progress has been slow and training of physicians is lacking. The WHO works closely with the Children's Environmental Health Clinic in Canada as well as collaborating centres around the world to build awareness of environmental health issues and promote improved care of children. Core competencies in CHE for physicians would provide an important step forward.
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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 | 0.012 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.011 | 0.005 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.014 | 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".