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Record W2048188659 · doi:10.1159/000357935

Pap, Gruel, and Panada: Early Approaches to Artificial Infant Feeding

2014· review· en· W2048188659 on OpenAlexaboutno aff
Michael Obladen

Bibliographic record

VenueNeonatology · 2014
Typereview
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsnot available
Fundersnot available
KeywordsInfant feedingBreast feedingMilk substituteInfant formulaMedicineHistoryPediatricsFood scienceBiology

Abstract

fetched live from OpenAlex

This paper collects information on artificial infant feeding published before 1860, the year when commercial formula became available. We have extensive artifactual evidence of thousands of feeding vessels since the Bronze Age. Special museum collections can be found in London, Paris, Cologne, Fécamp, Toronto, New Mexico, and elsewhere. The literature on the use of animal milk for infant feeding begins with Soranus in the 2nd century CE. Literature evidence from the very first printed books in the 15th century proves that physicians, surgeons, midwives, and the laity were aware of the opportunities and risks of artificial infant feeding. Most 17th to 19th century books on infant care contained detailed recipes for one or several of the following infant foods: pap, a semisolid food made of flour or bread crumbs cooked in water with or without milk; gruel, a thin porridge resulting from boiling cereal in water or milk, and panada, a preparation of various cereals or bread cooked in broth. During the 18th century, the published opinion on artificial feeding evolved from health concerns to a moral ideology. This view ignored the social and economic pressures which forced many mothers to forego or shorten breast-feeding. Bottle-feeding has been common practice throughout history.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.993
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.198
GPT teacher head0.345
Teacher spread0.147 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations13
Published2014
Admission routes1
Has abstractyes

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