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Record W1837371963 · doi:10.33137/rr.v30i4.9093

"<i>It cannot be decernit quha are clean and quha are foulle</i>." Responses to Epidemic Disease in Sixteenth and Seventeenth-Century Scotland

2006· article· fr· W1837371963 on OpenAlexvenueno aff
Richard Oram

Bibliographic record

VenueRenaissance and Reformation · 2006
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

En comparaison avec la recherche effectuée en Angleterre et sur le continent européen, la recherche sur l'impact en Écosse des épidémies sur l'économie, la société et la culture du XVIe siècle et du début du XVIIe siècle, n'a pas avancé significativement depuis les années 60. En effet, les discussions récentes réutilisent souvent la recherche des années 30 et 50. L'absence de recherche d'importance récente au sujet de la peste, ainsi que la dépendance envers les sources publiées, ont contribué à créer une approche traditionnelle et biaisée qui présente l'épidémie au premier chef comme un phénomène urbain dont les conséquences à long terme sur le pays étaient limitées. Cette étude propose donc une réévaluation des données et remet en question ce modèle traditionnel, en mettant de l'avant que ces épidémies étaient un des principaux facteurs ayant provoqué la dislocation socio-économique et le changement dans l'Écosse d'avant 1650.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.436
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.022
GPT teacher head0.229
Teacher spread0.207 · 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 designObservational
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

Citations7
Published2006
Admission routes1
Has abstractyes

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