Effects of the implementation of a breastfeeding best practice guideline in a Canadian public health agency
Bibliographic record
Abstract
Several strategies were used to implement a breastfeeding best practice guideline (BPG) in a Canadian public health agency. Nurses surveyed before and 1 year after implementation reported increased BPG-related knowledge and stronger beliefs regarding breastfeeding duration beyond 1 year. Telephone surveys also were conducted with mothers; 90 before BPG implementation and another cohort of 141 mothers following implementation. Post-implementation mothers were more knowledgeable about sources of breastfeeding help, obtained more help from public health nurses, and reported more breastfeeding-related discussion with healthcare providers. Compared to the pre-implementation cohort, mothers in the post-implementation cohort who were still breastfeeding at 6 months intended to continue breastfeeding longer. Implementing a breastfeeding BPG can affect breastfeeding-related experiences at a population level.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".