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Record W2939650876 · doi:10.3138/cbmh.280-082018

The Greater Good: Agency and Inoculation in the British Army, 1914–18

2019· article· en· W2939650876 on OpenAlexvenueno aff
Simon Walker

Bibliographic record

VenueCanadian Journal of Health History · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicYersinia bacterium, plague, ectoparasites research
Canadian institutionsnot available
Fundersnot available
KeywordsAutonomyAgency (philosophy)Typhoid feverPolitical scienceLawAuthoritarianismMedicineSociologyVirologyPoliticsDemocracySocial science

Abstract

fetched live from OpenAlex

As the First World War progressed, rates of typhoid diminished. This was heralded as a triumph of sanitary improvement and disease protection; yet as to how the British military achieved this remains a contentious issue. Objections arose around the danger of inoculation and the unpleasant and potentially deadly side effects. Between the unaffected and the sufferers of the vaccine's side effects are the unexplored stories of the refusers. Often bizarre, their accounts include stories of unsanctioned cajoling, arrests, suspension of privileges, and even physically forced inoculation. Soldiers could be encouraged, convinced, and, in rare cases, even forced to undergo inoculation. For others, the opportunity to refuse was often not made clear, as inoculation became part of routine military life. Despite the fact that soldiers were supposed to have complete autonomy over their own inoculation, the reality was often different. Penalties for noncompliance and a lack of clarification about soldiers' rights demonstrated that throughout the war a clash developed between individual autonomy and an authoritarian regime determined to ensure the health of its fighting force.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.604
Threshold uncertainty score0.796

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.017
Scholarly communication0.0040.002
Open science0.0000.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0060.000

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 head0.022
GPT teacher head0.262
Teacher spread0.240 · 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 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

Citations1
Published2019
Admission routes1
Has abstractyes

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Same venueCanadian Journal of Health HistorySame topicYersinia bacterium, plague, ectoparasites researchFrench-language works237,207