The state of child development in Canada: Are we moving toward, or away from, equity from the start?
Bibliographic record
Abstract
Young children have a remarkable capacity for developmental plasticity in response to the environments where they grow up, live and learn. In recognition of this capacity, the World Health Organization International Commission on the Social Determinants of Health recommended in 2008 that "governments build universal coverage of a comprehensive package of quality early child development programs and services for children, mothers, and other caregivers, regardless of ability to pay". Yet, in its recent report card on early learning and care, the United Nations Children's Fund revealed that Canada met only one out of 10 benchmarks, tying for last place with Ireland out of 26 wealthy countries. Not surprisingly, in Canada, large socioeconomic disparities emerge early in life in children's physical, social/emotional and language/cognitive development, which are largely attributable to systematic differences in the nature of their early environments. Moreover, there is evidence of decline in the state of early child development in Canada in recent years, concurrent with increasing economic and time pressures on families. To date, Canada has had the weakest public policy response (among the wealthy countries) to the emerging understanding of the importance of the early years. If recent activities and initiatives in Ontario, Quebec, the Canadian Senate and several other provinces are fully realized, Canada will begin to close the gap between what we know and what we do in the early childhood years.
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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 | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.013 | 0.008 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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".