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Record W1504503172 · doi:10.2436/ahct.v4i0.54833

Francis Gano Benedict's reports of visits to foreign laboratories and the Carnegie Nutrition Laboratory

2011· article· ca· W1504503172 on OpenAlexaff
Elizabeth Neswald

Bibliographic record

VenueEstudis Romànics (Institut d'Estudis Catalans) · 2011
Typearticle
Languageca
FieldBiochemistry, Genetics and Molecular Biology
TopicNutrition, Genetics, and Disease
Canadian institutionsBrock University
Fundersnot available
KeywordsHistoryLibrary sciencePhysiologyClassicsGerontologyMedicineComputer science

Abstract

fetched live from OpenAlex

Between 1907 and 1932/33 Francis Gano Benedict, director of the Carnegie Nutrition Laboratory, made seven extended tours of European metabolism laboratories. Benedict compiled extensive reports of these tours, which contain detailed descriptions and hundreds of photographs of the apparatus, laboratories and people that Benedict encountered. The tours took place during significant decades for physiology, covering the rise of American physiology, the effect of the First World War on European laboratories and the emergence of an international community in metabolismstudies. This essay provides an introduction to Benedict’s Reports of Visits to Foreign Laboratories and their central themes, situating them within the history of American physiology and the Carnegie Nutrition Laboratory. It concludes with an assessment of these volumes as a source for the history of early twentieth-century nutrition physiology.Key words: Francis Gano Benedict, physiology, laboratory history, Carnegie Nutrition Laboratory, metabolism research.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.995
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.005
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.002

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 head0.008
GPT teacher head0.215
Teacher spread0.207 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2011
Admission routes1
Has abstractyes

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