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Record W4381435428 · doi:10.5206/notabene.v16i1.16613

The Wicked Weeping Woman: A Reconsideration of Women's Agency in the Lament

2023· article· en· W4381435428 on OpenAlexaffvenue
Annika Williams

Bibliographic record

VenueNota bene · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsMount Allison University
Fundersnot available
KeywordsLamentAgency (philosophy)Abandonment (legal)AutonomyGriefSociologyInvocationGender studiesArtPsychologyLiteraturePolitical scienceLawSocial scienceAnthropology

Abstract

fetched live from OpenAlex

Drawing on philosophical frameworks of agency, autonomy, and vulnerability as developed by feminist opera scholars, this paper examines the use of the lament in the expression of female unhappiness through a comparison of the representations of the sorceress Alcina in Francesca Caccini’s La Liberazione di Ruggiero dall'isola d'Alcina, and George Frideric Handel’s Alcina. This paper begins by exploring how Caccini’s Alcina’s lament, “Ferma, ferma crudele,” exposes her journey through anger, confusion, and finally grief over her lost love. Alcina’s vulnerable expression of grief inspires another woman to join her in lamenting, an act which instills Alcina with greater emotional agency. The paper then considers Handel’s Alcina, suggesting that his Alcina’s aria, “Ombre Pallide,” functions as a lament rather than an invocation aria. The presence of lament characteristics following her abandonment of the musical conventions of the invocation aria see Alcina gain the freedom and autonomy to act without her self-destructive magical powers, showing that this loss of power is actually her liberation. Ultimately, these considerations question existing assumptions that composers reject lament conventions in order to lend agency to their women characters, and create space for nuanced understandings of women’s vulnerability and agency.

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 categoriesInsufficient payload (model declined to judge)
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 score0.692
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.050
GPT teacher head0.248
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

Citations0
Published2023
Admission routes2
Has abstractyes

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