Bibliographic record
Abstract
Globally, mothers from a wide variety of socio-environmental contexts often assume slow-growing babies are underfed and erroneously attribute perceived growth retardation to inadequate milk supply or poor milk quality [1]. These assumptions frequently prompt replacement of breastmilk with formula or other non-breastmilk foods to encourage infant weight and length gains [1]. This tendency to truncate breastfeeding to accelerate growth is exacerbated by some features of contemporary environments in both developing and developed nations such as growing rates of maternal obesity and caesarean section that interfere with breastfeeding. Unfortunately, regardless of the primary reason for truncation, cessation of exclusive breastfeeding before 4–6 months and of continued breastfeeding before 12 months is associated with increased risk of gastrointestinal infections and poor immune system development in infancy, and obesity and a variety of non-communicable diseases in later life [2]. Although stunting and wasting in children do represent major public health challenges in low- and middle-income countries, these phenomena should not be confused with unfaltering growth less than two standard deviations below global averages. Abundant evidence shows breastfeeding surpasses formula feeding nutritionally, immunologically, and emotionally [2]. These findings are unsurprising, given that humans share with all other mammals > 200 million years of successful evolutionary history of milk production. Within this broader mammalian context, humans have evolved both resilience and substantial flexibility in infant feeding. Regarding flexibility, use of complementary foods pre-weaning can partially offload the energetic burden of feeding from mothers to other caregivers [3]. Regarding resilience, nearly all human mothers can produce sufficient milk to meet infant needs—if not all demands—for the first 6 months postpartum even in adverse conditions, with milk production well-buffered against environmental insults [3]. Indeed, evidence from contemporary, non-industrialized populations indicates the most common infant feeding strategy is one of on-demand exclusive breastfeeding for ∼6 months, followed by introduction of easily digestible, nutrient-dense complementary foods combined with continued breastfeeding for 2–4 years. Our hunter-gatherer ancestors likely used infant feeding approaches similar to these norms, with variations attuned to local ecology [3]. Infant growth also likely varies with local population histories and environments. Growth trajectories vary widely within and especially among human populations, irrespective of infant feeding strategy [4]. Although new breastfeeding-based international infant growth standards (e.g. [5]) provide useful diagnostic guidelines regarding stunting, they should not be used to justify early cessation of exclusive or continued breastfeeding. Breastfeeding mothers can be assured that even very slow growth—if not interrupted by episodes of growth faltering—is often normal and healthy, only exceptionally rarely indicating milk insufficiency. With the aim of reducing infectious and non-communicable disease burdens, clinicians should offer infant feeding advice that is both evidence-based and feasible within a given ecological, historical and social context. We should pay special attention to obese mothers and mothers that birthed via caesarean section, since these evolutionarily-novel factors negatively affect breastfeeding performance [6]. AG receives support from Simon Fraser University (SFU). LM is supported two doctoral research fellowships, one provided by the Human Evolutionary Studies Program at SFU and one provided by the Social Sciences and Humanities Research Council of Canada, award # CGS-727-2011-33.
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 | 0.002 | 0.001 |
| 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".