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Record W6962547708 · doi:10.17464/9788891932396_07

Famine, bad weather and political alliances: Siena and Manfredi of Sicily between 1257 and 1260

2022· article· it· W6962547708 on OpenAlexaboutno aff

Bibliographic record

VenueVU Research Portal · 2022
Typearticle
Languageit
FieldArts and Humanities
TopicMedieval History and Crusades
Canadian institutionsnot available
Fundersnot available
KeywordsPretextContext (archaeology)FaminePeriod (music)IndonesianPoliticsHoneymoonForeign policy

Abstract

fetched live from OpenAlex

The famine that plagued Europe in the period 1257-1260, caused by the eruption of the Indonesian volcano Samalas, is analyzed in this contribution from the point of view of Sienese public sources. What emerges is that the Tuscan city, in comparison to other northern Italian communes, proved readier to manage this emergency because of the measures it had put in place to combat and prevent food crises during a previous famine, which had affected Tuscany in the period 1248-1256. Siena also managed to turn this emergency to its favor in the context of foreign policy, using the necessity to buy wheat from southern Italy as a pretext to get politically closer to the Ghibelline Manfred of Sicily, without having to break relations with its Guelph ally Florence. This observation shows how the study of environmental history can be useful not only for socio-economic analyses, but it can also have implications for the history of political events in past societies.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.092
Threshold uncertainty score0.183

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.005
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.113
GPT teacher head0.341
Teacher spread0.228 · 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 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

Citations0
Published2022
Admission routes1
Has abstractyes

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