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Record W3006237469 · doi:10.7202/1066750ar

Speaking in Pictures: Reading, Memory and Interpretation in Francesco da Barberino’s Advice to Women in his Reggimento e costumi di donna

2020· article· fr· W3006237469 on OpenAlex
Catherine Harding

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueRACAR Revue d art canadienne · 2020
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical and Literary Analyses
Canadian institutionsUniversity of Victoria
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of Victoria
KeywordsHumanitiesInvocationArtPhilosophyTheology

Abstract

fetched live from OpenAlex

Cet article étudie les différentes façons dont la lecture, la visualisation et l’interprétation travaillent de pair dans la tradition manuscrite de Reggimento e costumi di donna , un précis de bonne conduite rédigé par Francesco da Barberino à l’intention des femmes. Le public de la fin du Moyen-Âge était capable de naviguer entre des images verbales et visuelles du bon et du mauvais comportement selon une expérience corporelle de la lecture, alors que les lecteurs éprouvaient leur adhésion aux objectifs moraux prônés par la pensée chrétienne. Ce texte pouvait s’adresser à des hommes, des femmes et des enfants se trouvant dans un contexte familial. Le livre se termine par l’invocation d’un splendide joyau qui fonctionne comme un puissant procédé mnémotechnique destiné à aider le lecteur à se souvenir du texte et à activer le message dans son esprit.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.971
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.212
Teacher spread0.198 · 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