Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".