MétaCan
Menu
Back to cohort

The Great Bovine Pestilence and its economic and environmental consequences in England and Wales, 1318–50<i><sup>1</sup></i>

2011· article· en· W1902595722 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Economic History Review · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicReformation and Early Modern Christianity
Canadian institutionsMcGill University
Fundersnot available
KeywordsEconomic shortagePeasantAgricultureConsumption (sociology)New englandBovine milkPopulationGeographySocioeconomicsAgricultural economicsEconomicsDemographyBiologyPolitical scienceArchaeologyLawSociology

Abstract

fetched live from OpenAlex

The present article seeks to identify the nature, extent, and impact of the Great Bovine Pestilence in England and Wales, between 1318 and 1350. The murrain, which killed around 62 per cent of the bovine animals in England and Wales in 1319–20, had a tremendous impact within both the seigniorial and peasant sectors of late medieval agriculture. In particular, the pestilence, which decreased the overall population of dairy cattle, depressed the overall levels of milk supply available for human consumption. Is it possible that the bovine crisis of 1319–20, and the subsequent protein shortage, were instrumental in weakening the immune system of humans and making them prone to the pestilence some 30 years later?

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.938
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.046
GPT teacher head0.196
Teacher spread0.150 · 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