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Record W2046465392 · doi:10.4000/chs.1355

“To be remedied of any vendetta” : Petitions and the Avoidance of Violence in early modern Parma

2012· article· fr· W2046465392 on OpenAlexaff
Colin Rose

Bibliographic record

VenueCrime Histoire et Sociétés · 2012
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsUniversity of TorontoDalhousie University
Fundersnot available
KeywordsTribunalObligationLawDuchyPolitical scienceHistoryAncient historyPolitics

Abstract

fetched live from OpenAlex

The Farnese dukes dominated the province of Parma, north Italy, from the period 1548 to 1731. An important characteristic of their rule was their receptiveness to petitions and supplications from their subjects. Petitions from subjects of varying social positions to absolutist rulers provide a wealth of information pertaining to the relationships between dukes or princes and the populations they ruled. This article argues that the subjects of the Farnese duchy of Parma relied on the relationships of channels of communication provided by a well-entrenched system of petitions and appeals as a way to relieve themselves of the obligation to resolve quarrels and social conflicts through violence. Importantly, malefactors also seem to have calculated their crimes in accordance with the likelihood of receiving a ducal pardon, tending to threaten rather than wound, or insult rather than attack. The system of petitioning was operated by the Council of Sentencing (Consiglio della Dettatura), a tribunal that developed as an integral part of the Farnese judiciary system. By the waning of the Farnese dynasty, petitioning allowed a broad swath of Farnese subjects to protect their own interests while submitting to the authority of the ducal regime.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.670
Threshold uncertainty score0.866

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 studies0.0000.001
Scholarly communication0.0000.000
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 head0.090
GPT teacher head0.313
Teacher spread0.223 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations15
Published2012
Admission routes1
Has abstractyes

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