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Record W2125980027 · doi:10.1017/s0261143010000231

Resisting exile and asserting musical voice: the Dixie Chicks are ‘Not Ready to Make Nice’

2010· article· en· W2125980027 on OpenAlexaff
Jada Watson, Lori Burns

Bibliographic record

VenuePopular Music · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsLyricsMusicalOppressionSilenceCriticismResistance (ecology)Interpretation (philosophy)Popular musicPower (physics)PoliticsArtVisual artsSociologyMedia studiesGender studiesHistoryAestheticsArt historyLiteraturePolitical scienceLawLinguistics

Abstract

fetched live from OpenAlex

Abstract In 2003, Natalie Maines of the Dixie Chicks denounced President George W. Bush from a concert stage in London, England leading to serious career consequences for the country music trio. In response to three years of public criticism and radio boycotts, the Dixie Chicks released their single ‘Not Ready to Make Nice’, with an accompanying video critiquing the oppressive institutional power that sought to silence them. Through an analysis of music, text and images in this song, this paper explores how the Dixie Chicks responded to the backlash and regained their voice in the music industry. The paper offers a critical summary of the political incident, an interpretation of the images of symbolic containment and resistance that are prevalent in the video, and an interpretation of the musical elements in relation to the lyrics and images. Through the intersection of lyrics, music and images the Dixie Chicks create a platform of resistance to the social and institutional oppression they experienced.

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)0.001
metaresearch head score (Gemma)0.005
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 score0.023
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0100.017
Scholarly communication0.0070.002
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.052
GPT teacher head0.244
Teacher spread0.192 · 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

Citations13
Published2010
Admission routes1
Has abstractyes

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