Sanitization of Early Life and Microbial Dysbiosis
Bibliographic record
Abstract
Childbearing and infant care practices have dramatically evolved since the 15th century. Shifting away from traditional home-based experiences, with the emergence of the microbial aware era and the hospital as a quintessential sanitizing machine, early life has now long been characterized as a condition to be medically managed. Paradoxically, this ‘germ-free’ march towards a healthier early life environment has opened the door to greater microbial susceptibility and dysbiosis. Many studies have now established that infant exposure to excessive sanitation and hygiene regimens are associated with an increased risk for and onset of childhood immune system diseases. In this paper, we explore the ways in which biomedical-centered efforts to enhance early life have come at a cost to planetary health, in relation to infant microbial succession. We examine three major areas of early life that have been subject to the ‘ripple effect’ of hygiene and sanitation concerns—childbirth, home environment, and breastfeeding.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".