Current Scope of Practice for Breastfeeding and Lactation Medicine Physicians and Providers: Description of an Emerging Subspecialty
Bibliographic record
Abstract
Breastfeeding and Lactation Medicine is an emerging medical subspecialty that addresses the physiology, pathology, and sociodemographic components of breastfeeding and lactation. In the past 50 years, the field has grown into an international subspecialty supported by the Academy of Breastfeeding Medicine. Training programs are emerging in many countries, and it has become a reimbursable, board-certified medical specialty in the United States and Canada. Breastfeeding and Lactation Medicine providers manage routine and complex issues arising during lactation, across multiple care settings. Care requires a comprehensive skill set that includes a strong understanding of the distinct and interdependent physiologies of presenting patients as well as a consideration of the context in which families are immersed. Providers in this field are also advocates, researchers, policy consultants, and educators, leading global improvement in the clinical care and social support for families who are breastfeeding or lactating. Struggles for the field have included difficulties with institutionalizing programs, a research agenda not focused on diagnosis and management of common conditions, competition with commercial milk formula marketing practices, and limited training opportunities. This paper was developed by an international group of Breastfeeding and Lactation Medicine providers and the Academy of Breastfeeding Medicine to describe the scope of the field, who practices in the field, the problems addressed, challenges faced, and some cases that exemplify this work.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".