Reconfiguring insufficient breast milk as a sociosomatic problem: mothers of premature babies using the kangaroo method in Brazil
Bibliographic record
Abstract
This study focuses on Brazilian mothers who gave birth to premature babies who were discharged from hospital using the Kangaroo Mother Care Method. While mothers left the hospital breastfeeding exclusively, once back at home, they abandoned exclusive breastfeeding because of insufficient breast milk (IBM). In this project we explored how IBM was interpreted by mothers within their social context. Participatory research using the Creative Sensitive Method was done in the homes of mothers with family members and neighbours. We described the conflicting social discourse that influenced the mothers' perception of IBM and explored their sources of distress. At the hospital and Kangaroo ward, mothers considered that clinicians recognized they were experiencing IBM and thus supported them to overcome this problem. Back at home and in their community, other sources of stress generated anxiety such as: the lack of outpatient clinical support, and conflicting local norms to care and feed premature babies. These difficulties combined with economic constraints and discontinuity in models of health care led mothers to lose confidence in their breastfeeding capacity. Mothers, thus, rapidly replaced exclusive breastfeeding by mixed feeding or formula feeding. Our analysis suggests that IBM in our sample was the result of a socio-somatic process. Recommendations are proposed to help overcome IBM and corresponding contextual barriers to exclusive breastfeeding.
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.
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 | 0.000 | 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 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".