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Record W2905002189 · doi:10.3390/challe9020043

Sanitization of Early Life and Microbial Dysbiosis

2018· article· en· W2905002189 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueChallenges · 2018
Typearticle
Languageen
FieldHealth Professions
TopicPediatric health and respiratory diseases
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSanitationDysbiosisBreastfeedingHygieneHygiene hypothesisEnvironmental healthMedicinePediatricsGut floraImmunologyImmune system

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.270
Threshold uncertainty score0.234

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.101
GPT teacher head0.394
Teacher spread0.293 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it