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Record W4391836343 · doi:10.33137/rr.v46i3.42638

Guittone d’Arezzo and Female Superiority through Paradox: An Antecedent of the Renaissance Querelle des Femmes?

2024· article· en· W4391836343 on OpenAlexvenueno aff
Daniele Cerrato

Bibliographic record

VenueRenaissance and Reformation · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicRenaissance Literature and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsUndoingDignityThe RenaissancePoetryAntecedent (behavioral psychology)ArtLiteratureHumanitiesPsychologyPolitical scienceLawArt historyPsychoanalysisSocial psychology

Abstract

fetched live from OpenAlex

This article aims to analyze the participation of the Italian poet Guittone d’Arezzo in the querelle des femmes, considering especially the poem Ahi lasso, che li boni e li malvagi, which anticipates some of the issues that would be central to the debate on female dignity in the following centuries. In his text, Guittone plays with paradox, overturning, undoing, and giving new form to the concepts of superiority and inferiority between men and women in order to exculpate the female sex. Later on, his arguments will serve not only some authors of the querelle but also writers such as Isotta Nogarola, Arcangela Tarabotti, and Moderata Fonte.

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)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.030
Scholarly communication0.0040.005
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.038
GPT teacher head0.267
Teacher spread0.229 · 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 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
Published2024
Admission routes1
Has abstractyes

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