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Record W4386238827 · doi:10.2991/978-2-38476-094-7_29

Psychopathology of Female Characters in Opera: Dido and Turandot

2023· book-chapter· en· W4386238827 on OpenAlexaff
Jingke Hu, Yixuan Wang

Bibliographic record

VenueAdvances in Social Science, Education and Humanities Research/Advances in social science, education and humanities research · 2023
Typebook-chapter
Languageen
FieldArts and Humanities
TopicTheater, Performance, and Music History
Canadian institutionsMcGill University
Fundersnot available
KeywordsDIDOOperaPsychologyArtPsychoanalysisLiterature

Abstract

fetched live from OpenAlex

This article will take a psychopathological approach to classical opera's portrait of female figures.Two cases are selected as both female characters are involved with ample profiled elements that help people to understand the role of females being imaged and how this image has been changed through time.The article will take Turandot as an example to briefly analyze the impact and the medical influence of music on the human psyche and emotions, which is considered music therapy.It will analyze some impact of the Turandot, as a female role at the time, from a sociological feminist perspective.Music Therapy is the clinical and evidence-based use of music interventions to accomplish individualized goals within a therapeutic relationship by a credentialed professional who has completed an approved music therapy program.After that, this article will also see the analysis of the character of Dido.The two female characters serve as a unity for people to understand that Western culture has a coherent narrative for females in their destiny and pursuit of happiness.

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)0.000
metaresearch head score (Gemma)0.001
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: Other · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0040.006
Scholarly communication0.0030.002
Open science0.0000.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.117
GPT teacher head0.428
Teacher spread0.311 · 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
GenreOther

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 routes1
Has abstractyes

Explore more

Same venueAdvances in Social Science, Education and Humanities Research/Advances in social science, education and humanities researchSame topicTheater, Performance, and Music HistoryFrench-language works237,207