Breast feeding practices as cultural interventions for early childhood caries in Cree communities
Bibliographic record
Abstract
BACKGROUND: Breastfeeding is a gift from mother to child and has a wide range of positive health, social and cultural impacts on infants. The link between bottle feeding and the prevalence of early childhood caries (ECC) is well documented. In Aboriginal communities, the higher rates of ECC are linked with low rates of breast feeding and inappropriate infant feeding of high sugar content liquids. METHODS: The Baby Teeth Talk Study (BTT) is one project that is exploring the use of four interventions (motivational interviewing, anticipatory guidance, fluoride varnish and dental care to expectant mothers) for reducing the prevalence of ECC in infants within Aboriginal communities. This research explored cultural based practices through individual interviews and focus groups with older First Nations women in the community. RESULTS: Participants in a First Nations community identified cultural based practices that have also been used to promote healthy infant feeding and good oral health. A wide range of themes related to oral health and infant feeding emerged. However, this paper focuses on three themes including: breastfeeding attitudes, social support for mothers and birthing and supporting healthy infant feeding through community programs. CONCLUSIONS: The importance of understanding cultural health traditions is essential for those working in oral public health capacities to ensure there is community acceptance of the interventions.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".