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New Worlds

2006· book-chapter· en· W4388291008 on OpenAlexaboutno aff
Matthew Smallman‐Raynor, Andrew Cliff, B Trevelyan, C Nettleton, Simon Sneddon

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldArts and Humanities
TopicHistory of Medicine and Tropical Health
Canadian institutionsnot available
Fundersnot available
KeywordsPoliomyelitisQuarter (Canadian coin)Section (typography)OutbreakHistoryState (computer science)GenealogyGeographyPolitical scienceMedicineVirologyArchaeology

Abstract

fetched live from OpenAlex

Abstract As if written by the moving finger in Fitzgerald’s famous free translation of Omar Khayyám’s Rubáiyá t, the story told in Chapter 4 of the emergence of epidemic poliomyelitis across Europe from the latter years of the nineteenth century was repeated again and again between 1900 and 1920, first in North America, then in Latin America, and finally in Oceania. It is this time ordered stepping stones model of the emergence of global epidemic poliomyelitis which we examine in this chapter. We begin in Section 5.2 with an overview of the evidence for the occurrence of poliomyelitis in the United States in the quarter century or so from 1881, a period which immediately preceded the onset of formal national level surveillance in that country. We then focus upon the first major outbreak in the United States, in New York in 1907 (Sect. 5.3), before studying in Section 5.4 the great epidemic of poliomyelitis which swept through New York City and the northeasttern United States in 1916. Next, we review in Section 5.5 a classic series of descriptions of poliomyelitis emergence in one state of New England: Charles S. Caverly’s records of poliomyelitis in Vermont, 1910–17. Finally, evidence for the appearance of poliomyelitis in other New World countries in the Americas and Oceania is summarized in Section 5.6. The chapter is concluded in Section 5.7.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.474
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.1510.004

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 head0.039
GPT teacher head0.226
Teacher spread0.187 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2006
Admission routes1
Has abstractyes

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