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Lady Gaga and Feminism: A Critical Debate

2011· article· en· W1874765655 on OpenAlexaffvenue
Curtis Fogel, Andrea Quinlan

Bibliographic record

VenueCross-cultural communication · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsYork UniversityLakehead University
Fundersnot available
KeywordsFeminismHumanitiesGender studiesGender violenceSociologyLignePower (physics)ArtEthnology

Abstract

fetched live from OpenAlex

Abstract This paper critically explores the work of Lady Gaga through her music videos, debating whether or not she should be perceived as a symbol of female power. With unclear representations of sex, violence, and power in her videos, it is debatable as to whether she is a gendered warrior fighting for the advancement of women or if she is a pop-cultural representation of hyper-sexualized violence against women in the media. Through this debate, it is argued that Lady Gaga fuels a continuing war against women’s bodies by: a) turning violence against women into a commodity, b) normalizing violence, c) dehumanizing herself, and d) generating unrealistic expectations of female empowerment. Key words : Sex; Violence; Power; Music; Feminism Resume Cet article explore le travail critique de Lady Gaga a travers ses clips videos, de debattre si oui ou non elle doit etre percue comme un symbole du pouvoir feminin. Avec les representations clair de son sexe, de violence et de puissance dans ses videos, il est discutable de savoir si elle est un guerrier sexuee lutte pour la promotion de la femme ou si elle est une representation pop-culturelle de l'hyper-sexualisees violence contre les femmes dans les medias. Grâce a ce debat, il est soutenu que Lady Gaga carburants d'une guerre permanente contre le corps des femmes par: a) transformer la violence contre les femmes en une marchandise, b) la normalisation de la violence, c) se deshumaniser, et d) generer des attentes irrealistes de l'autonomisation des femmes. Mots-cles: Sexe; Violence; Pouvoir; Musique; Feminisme

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.431
Threshold uncertainty score0.881

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.099
GPT teacher head0.400
Teacher spread0.300 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations6
Published2011
Admission routes2
Has abstractyes

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