Global health and policy translation: women's embodied experience of breastfeeding in Quebec
Bibliographic record
Abstract
Over the last few decades breastfeeding (BF) has become a World Health Organization (WHO) sanctioned public health priority due to its positive health outcomes, both for the mother and her child. In 2001, the province of Quebec issued a BF policy L'Allaitement maternel au Québec: Lignes directrices, (thereafter LD), aimed at implementing global health recommendations on infant feeding (WHO/UNICEF). Although this policy action has resulted in tremendous increase of BF initiation rate, BF duration remains below WHO standards, particularly among specific sociodemographic groups. Drawing on data from a large, multi-site qualitative study in Quebec, this study analyzes women's experience of BF, and seeks to investigate the gap between policy and its implementation, and in turn how women interpret, negotiate and/or resist current recommendations in their infant feeding practices. The focus of the study is the comparison of women's narratives (52 women participated in 11 Focus Groups) and lived experience of varying health care settings with differing degrees of compliance to LD (high and low implementation of the Baby-Friendly Initiative). This work examines BF beyond its biological dimension, and it tackles how public health policies and quality of delivery services influence women's choices and practices of infant feeding, and concur to women's experience and self-perception of motherhood and womanhood.Given that this policy evaluation study draws from women's narratives from various life contexts (rural and urban settings), my findings will contribute significantly to future BF policies in Québec as well as to give valuable insight on a global level.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.022 | 0.010 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".