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Record W3036361513 · doi:10.5206/notabene.v13i1.8559

"Up Close and Intimate": Catharsis, the Dark Side of Sexuality, and The Dresden Dolls

2020· article· en· W3036361513 on OpenAlexaffvenue
Logan Imans

Bibliographic record

VenueNota bene · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsCatharsisPunkLyricsPsychoanalysisArtThe artsAestheticsPsychologyVisual artsLiteratureArt history

Abstract

fetched live from OpenAlex

The Dresden Dolls are a punk-cabaret band that use their music to delve into diverse and taboo subject matter including sexual assault, abortion, and trauma. Despite the morose and grotesque imagery invoked by their lyrics, this paper advocates for the therapeutic effects of catharsis as encouraged by The Dresden Dolls. This essay provides an overview of the applications of catharsis in the arts and psychotherapy, explores how the musical elements and performance contexts of punk-cabaret elicit catharsis, and develops a contemporary theory of catharsis as it pertains to the music of The Dresden Dolls. In considering manifestations of trauma and healing in the songs “Missed Me,” “Mandy Goes to Med School,” and “Lonesome Organist Rapes Page Turner,” this paper illustrates how, despite the potential challenges of confronting trauma through music, the approach of The Dresden Dolls is ultimately effective in cultivating catharsis and encouraging healing for their listeners.

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)0.002
metaresearch head score (Gemma)0.003
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: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0100.024
Scholarly communication0.0050.003
Open science0.0010.005
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 head0.035
GPT teacher head0.229
Teacher spread0.194 · 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
Published2020
Admission routes2
Has abstractyes

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