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Record W4383998771 · doi:10.1093/jhmas/jrad035

“They Perished in the Cause of Science”: Justus von Liebig’s Food for Infants

2023· article· en· W4383998771 on OpenAlexafffund
Caroline Lieffers

Bibliographic record

VenueJournal of the History of Medicine and Allied Sciences · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsThe King's University
FundersSocial Sciences and Humanities Research Council of CanadaPierre Elliott Trudeau FoundationGovernment of AlbertaYale University
KeywordsMedicinePediatrics

Abstract

fetched live from OpenAlex

In 1867, controversy erupted when Jean-Anne-Henri Depaul, a Paris accoucheur, tested Justus von Liebig's new "food for infants" on four newborns, all of whom died within days. This paper examines the origins of Liebig's food, the debates in the French Academy of Medicine after Depaul's experiment, and how the events were discussed in the medical and popular presses. I argue that the controversy was shaped by a number of interconnected concerns, including the product's impracticality, disagreements within the field of chemistry, the riskiness of Depaul's experimentation, Liebig's problematic celebrity, the potential hubris of trying to emulate a natural product, and national tensions between France and Germany. Infant feeding was an emotionally charged and highly politicized site where multiple interests, anxieties, and ways of knowing collided. Although commercial infant foods, many of which made reference to Liebig in their advertising, would ultimately find popularity in the last decades of the nineteenth century, close attention to the first years of Liebig's product demonstrates that its credibility as a "scientific" mode of infant feeding was far from assured. Rather, Liebig's milk illustrates the early challenges of constructing and enforcing knowledge and trust at the intersection between food, science, and infant life, in both professional and popular arenas.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.581
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.005
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.115
GPT teacher head0.284
Teacher spread0.168 · 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 designQualitative
Domainnot available
GenreEmpirical

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

Citations0
Published2023
Admission routes2
Has abstractyes

Explore more

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