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Record W4392891669 · doi:10.46793/naskg2356.183i

THE PRICE OF BEAUTY IN ТÉA МUTONJI’S „SHUT UP YOU’RE PRETTY“

2023· article· en· W4392891669 on OpenAlexaboutno aff
Sanja Ignjatović

Bibliographic record

VenueNasledje Kragujevac · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsSubversionFemininityIronyBeautyPoliticsIdentity (music)CriticismMainstreamContext (archaeology)SarcasmAestheticsSociologyLiteratureGender studiesHistoryArtLawPolitical science

Abstract

fetched live from OpenAlex

Drawing on the idea that the exploration of female identity and race necessarily relies on the subversion of the mainstream discourse and the economic, social, and cultural context, this paper deals with instances of irony as socio-political criticism in the short story collec- tion Shut Up You’re Pretty (2019), authored by Téa Mutonji, a Cana- dian award-winning poet and writer. Inspired by her African origins and the transgenerational wounds she has witnessed in the immigrant community, Mutonji’s stories offer a defamiliarizing rawness to the characters’ discoveries of their own femininity, womanhood, and iden- tity in a bildungsroman form of sorts, but the subversive note, as illus- trated in the paper, belongs to the storyteller’s own finding an authen- tic and uncompromising voice relating a collective experience. Humor is explored against its ironic edge, perhaps a typically Canadian one, and the analysis of stories provides insight into how this contemporary author, as a Black woman, critically assesses the historically inherited values pertaining to femininity and womanhood, but also claims her space in the tradition of female writing characterized by political and critical humor.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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: none
Teacher disagreement score0.778
Threshold uncertainty score0.784

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.023
GPT teacher head0.258
Teacher spread0.234 · 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 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
Published2023
Admission routes1
Has abstractyes

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