Development of Interventions to Support Provincial Implementation of the Baby-Friendly Initiative: A Study Protocol
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Breastfeeding is internationally recognized as the optimal form of infant nutrition. The Baby-Friendly Initiative (BFI) is an evidence-informed program that leads to improved breastfeeding outcomes. Despite the benefits of breastfeeding, Nova Scotia has one of the lowest breastfeeding rates in Canada. Additionally, only two birthing hospitals in the province have BFI designation. We aim to address this gap using a sequential qualitative descriptive design across three phases. In Phase 1, we will identify barriers and facilitators to BFI implementation through individual, semi-structured interviews with 40 health care professionals and 20 parents. An analysis of relevant policy and practice documents will complement these data. In Phase 2, we will develop implementation interventions aimed at addressing the barriers and facilitators identified in Phase 1. An advisory committee of 10-12 administrative, clinical, and parent partners will review these interventions. In Phase 3, the interventions will be reviewed by a panel of 10 experts in BFI implementation through an online survey. Feedback on the revised implementation interventions will then be sought from 20 health system and parent partners through interviews. This work will use implementation science methods to support integrated and sustained implementation of the BFI across hospital/community and rural/urban settings in Nova Scotia. This study was not registered.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it