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Record W2885679362 · doi:10.7765/9780719094989.00009

Disease and Welsh society

2016· book-chapter· en· W2885679362 on OpenAlexaboutno aff
Alun Withey

Bibliographic record

VenueManchester University Press eBooks · 2016
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicYersinia bacterium, plague, ectoparasites research
Canadian institutionsnot available
Fundersnot available
KeywordsWelshSmallpoxPlague (disease)DiseaseGeographyRural areaMalnutritionEpidemic diseaseQuarter (Canadian coin)Period (music)SocioeconomicsDemographyMedicineArchaeologyVaccinationVirology

Abstract

fetched live from OpenAlex

The presence of large groups of people in close proximity proved a fertile breeding ground for all manner of epidemic and endemic diseases throughout the early modern period. Water supplies were often contaminated as people empted their waste into the nearest available stream or river. Plague was certainly present during the sixteenth and early seventeenth centuries in Welsh towns, although it appears to have made less impact here than in some parts of England. Smallpox too was an endemic disease which often became epidemic, and was certainly notorious throughout Wales during this period, killing around a quarter of those who contracted it. Urban areas tended to follow different patterns of mortality to those in the countryside. Diet was another strong factor affecting susceptibility to disease. Malnutrition lowered immunity to disease, especially during harvest failures and poor weather when staple crops were in short supply.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.734
Threshold uncertainty score1.000

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 science0.0000.001
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 head0.018
GPT teacher head0.215
Teacher spread0.197 · 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 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
Published2016
Admission routes1
Has abstractyes

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