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Record W2050683026 · doi:10.7202/017353ar

Les victimes de viol devant les tribunaux à la fin du Moyen Âge d’après les sources dijonnaises et lyonnaises

2005· article· en· W2050683026 on OpenAlexvenueno aff
Nicole Gonthier

Bibliographic record

VenueCriminologie · 2005
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsWitnessPower (physics)CriminologyPsychologyComplaintLawReputationPolitical science

Abstract

fetched live from OpenAlex

At the end of the Middle Ages, the manner in which the courts of justice punished rapists clearly shows how seriously such crimes were judged at that time. Endeavoring to increase their juristic power and worrying that the propagation of rape would corrupt the entire society and threaten its survival, impelled the judges and their officials —princes, bishops, and municipal bodies — to deal with all complaints and to initiate inquiries about them. A study of the progressive steps undertaken in the preliminary investigations of these cases reveals that after an inquiry into the accuser's reputation, the judges demanded numerous proofs from the victim about the rape. Moreover, a clinical examination was demanded from a midwife. Thus, in addition to the scientific proof and the witness's statements, the investigators were able to arrive at a better assessment of the rapist. The rapist, in turn, under the distressful solitude in his cell where he had been incarcerated by the police as soon as the complaint was made, finally admitted to the crime and renounced having degraded and defamed his accuser, ft was then up to the court to punish the offender. These offenders were treated severely, particularly if they had attacked moral and social values by deflowering children and virgins.

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 categoriesScience and technology studies, Insufficient 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 score0.893
Threshold uncertainty score0.999

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 studies0.0040.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.263
GPT teacher head0.312
Teacher spread0.049 · 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
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

Citations13
Published2005
Admission routes1
Has abstractyes

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