Re-Envisioning an Early Years System of Care towards Equity in Canada: A Critical, Rapid Review
Bibliographic record
Abstract
Background: Many children in high-income countries, including Canada, experience unjust and preventable health inequities as a result of social and structural forces that are beyond their families’ immediate environment and control. In this context, early years programs, as a key population health initiative, have the potential to play a critical role in fostering family and child wellbeing. Methods: Informed by intersectionality, this rapid literature review captured a broad range of international, transdisciplinary literature in order to identify promising approaches for orienting early years systems of care towards equity in Canada. Results: Findings point to the need for a comprehensive, integrated and socially responsive early years system that has top-down political vision, leadership and accountability and bottom-up community-driven tailoring with an explicit focus on health promotion and maternal, family and community wellness using relational approaches. Conclusions: Advancing child health equity in wealthy countries requires structural government-level changes that support cross-ministerial and intersectoral alliances. Employing intersectionality in this rapid review promotes contextualized and nuanced understandings of what is needed in order to advance a responsive, comprehensive and quality early years system of equity-oriented care. Further research is needed to prevent child health inequities that are disproportionally experienced by Indigenous and racialized children in wealthy countries such as Canada. olicy and research recommendations that have relevance for high-income countries in diverse global contexts are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.034 | 0.098 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.015 | 0.018 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.014 | 0.007 |
| Open science | 0.006 | 0.005 |
| Research integrity | 0.006 | 0.008 |
| 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".