Exploring the Role of the Nurse in Supporting Breastfeeding among Indigenous Women in Canada: A Scoping Review of the Literature
Bibliographic record
Abstract
Indigenous peoples in Canada experience poorer health outcomes than the rest of the Canadian population. Indigenous populations face higher rates of morbidity and mortality from preventable infections and diseases. Breastfeeding is recognized as the optimal form of infant feeding with several health benefits for both infants and mothers who breastfeed. However, Indigenous women have lower breastfeeding rates than non-Indigenous women. Research has identified the need to increase programs and services to better support breastfeeding rates among Indigenous women. Nurses have the potential to offer interventions to support breastfeeding throughout the perinatal period. This scoping review explored the role of the nurse in breastfeeding support in Indigenous populations in Canada. This research identified both the gaps in practice as well as the positive interventions being implemented by Canadian nurses.
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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 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.010 | 0.019 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".