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Record W4220952132 · doi:10.1017/s0021875822000056

Benjamin Smith Lyman and Cosmopolitan Vegetarianism

2022· article· en· W4220952132 on OpenAlexaboutno aff
Christine M. E. Guth

Bibliographic record

VenueJournal of American Studies · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsFoodwaysImmigrationWorld War IIConsumption (sociology)SociologyHistoryEconomic historyMedia studiesLawPolitical scienceSocial scienceAnthropology

Abstract

fetched live from OpenAlex

Studies of the development of vegetarianism in the United States between the Civil War and World War I emphasize the distinctly American character the movement assumed during this period. They take a top-down prescriptive perspective that emphasizes celebrated advocates of a meatless diet such as William Metcalfe, Sylvester Graham, Bronson Alcott, and J. H. Kellogg, ignoring the often humdrum reality of this food choice. This article instead examines what it meant to live a vegetarian life from the bottom up, during an era when American foodways were being transformed by growing global interconnectedness resulting from advances in technology, science, transportation, and communications, bound up with American imperialism. It takes as its starting point the voluminous correspondence and other archival material associated with Benjamin Smith Lyman (1835–1920), a lifelong vegetarian and the author of Vegetarian Diet and Dishes (1917), and an eloquent, idiosyncratic, yet overlooked spokesperson for this practice. Lyman was an eminent, widely traveled mining geologist who over the course of a fifty-year career carried out surveys in the United States, Canada, India, the Philippines, and Japan, where he remained from 1873 to 1881. His activities and writings draw attention to the cosmopolitan dimensions of the cultivation, procurement, preparation, and consumption of foodstuffs suitable to a vegetarian diet, many introduced from Asia to the United States through the efforts of governmental agencies and immigrants.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.012
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.029
GPT teacher head0.248
Teacher spread0.219 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations1
Published2022
Admission routes1
Has abstractyes

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