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Record W1552561774 · doi:10.1093/jsh/shu047

Paolina's Innocence: Child Abuse in Casanova's Venice. By Larry Wolff (Stanford: Stanford University Press, 2012. 315 pp.)

2015· article· en· W1552561774 on OpenAlexaff
E. S. Cohen

Bibliographic record

VenueJournal of Social History · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Influence and Diplomacy
Canadian institutionsYork University
Fundersnot available
KeywordsInnocenceLawHarmDenunciationHistoryPreceptValue (mathematics)SociologyPoliticsPolitical science

Abstract

fetched live from OpenAlex

With the lively eye and deft pen of the successful microhistorian, Larry Wolff takes an exceptional document about a rare transgression and crafts a nuanced commentary on a larger cultural transition. From a monumental 300-page trial record from Venice in 1785, Wolff reconstructs the tiny story of one troubling night that Paolina, an eight year old servant, spent in the bed of Franceschini, an aging gentlemen seeking “warming” and revitalization. Using trial testimony from the child's own mouth, this book contributes to the relatively sparse field of early modern girlhood studies. Paolina herself, however, recites only a small, if crucial, part. Most of the book focusses instead on adult behavior and attitudes about children. Disrupting any presumption that the childhood “innocence” of his title was a timeless universal, Wolff argues that the late eighteenth century saw pivotal, but far from consolidated development of this modern European value. Moving away from religious notions of sin, the Enlightenment began to forge a secular precept that sex and children should not mix. At the same time, since eighteenth-century law did not yet constitute sexual abuse as a criminal harm to persons, the Venetian trial prosecuted Franceschini for the social offense of causing public scandal. Much of the substantial merit of Wolff's study lies in his careful exposition of these layered ambiguities and, more generally, of the untidy complexities of cultural change.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.625
Threshold uncertainty score0.997

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.032
GPT teacher head0.281
Teacher spread0.250 · 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 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

Citations0
Published2015
Admission routes1
Has abstractyes

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