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Record W3184486639 · doi:10.82308/41721

Performing female artistic identity : Lavinia Fontana, Elisabetta Sirani and the allegorical self-portrait in sixteenth and seventeenth-century Bologna

2006· article· en· W3184486639 on OpenAlexfundno aff
Patrícia R. M. Rocco

Bibliographic record

VenueeScholarship@McGill (McGill) · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicRenaissance and Early Modern Studies
Canadian institutionsnot available
FundersMcGill University
KeywordsPortraitArtIdentity (music)Art historyVisual artsHumanitiesAesthetics

Abstract

fetched live from OpenAlex

Artemisia Gentileschi's self-portrait, Allegory of Painting, painted in 1630, has activated a complex discussion of female artistic identity in which performance is tied to concerns with status. This thesis addresses an earlier history of development in allegorical self-portraiture in the work of the sixteenth-century Bolognese artist, Lavinia Fontana, and her seventeenth-century successor, Elisabetta Sirani. I argue that the female artist's negotiation for status was played out in the transformation from a more official mode of self presentation, such as Fontana's Self-Portrait at the Keyboard , to a deliberate performative shift of embodied personification in her self-portrait as Judith with the head of Holofernes and her later self portraits as St. Barbara in the Apparition of the Madonna and Child to the Five Saints. This negotiation of artistic status continues with Sirani's self-portraits in Judith and the Allegory of Painting, and as what I suggest are more ambiguous and ambitious representations of anti-heroines, Cleopatra and Circe. I also discuss the important role that the emerging genre of biography plays in the female artist's struggle for status. The thesis explores the shift in visual conventions in relation to discourses of artistic identity, gender and genre---such as the donnesca mano---that circulated in Renaissance historiography in Italy, and more specifically, in the cultural milieu of Bologna.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
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 score0.738
Threshold uncertainty score1.000

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 studies0.0020.001
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.016
GPT teacher head0.214
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

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

Citations1
Published2006
Admission routes1
Has abstractyes

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