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Record W2619281933 · doi:10.3138/md.0749

Feeling Privileged: The Shame of Whiteness in<i>Caroline, or Change</i>

2017· article· en· W2619281933 on OpenAlexvenueno aff
Stephen Low

Bibliographic record

VenueModern Drama · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsShameRacismFeelingPrivilege (computing)White privilegeScholarshipPoliticsSociologyWhite (mutation)Plot (graphics)MusicalPsychoanalysisAestheticsNarrativeGender studiesPsychologyArtSocial psychologyPolitical scienceLiteratureLaw

Abstract

fetched live from OpenAlex

Through an analysis of Tony Kushner and Jeanine Tesori’s musical Caroline, or Change, this article identifies shame as an affective response to white privilege that has the political potential to challenge systemic racism. In contrast to most scholarship on Caroline, or Change, the article focuses on the character of Rose rather than on Caroline or Rose’s stepson, Noah. Rose implements a rule to help her avoid the shame she feels when confronting the socio-economic disparity between her family and their maid, Caroline. This rule incites the plot’s conflict, providing the musical a dramatic and political centre that deserves further analysis. In its analysis of Rose’s shame, this article offers a theoretical outline of the temporality of shame that differentiates it from guilt. Doing so, the article illuminates how Caroline, or Change challenges systemic racism by identifying white privilege as immanently iterated in the present.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.724
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.093
GPT teacher head0.276
Teacher spread0.183 · 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 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

Citations2
Published2017
Admission routes1
Has abstractyes

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