A New Ontology for the Female Subject: The Rise of the Flat Character in Stories by Solvej Balle and Kirsten Thorup
Bibliographic record
Abstract
ABSTRACT: This paper examines the way the literary convention of the “flat-character” is re-imagined, in Kirsten Thorup’s story “Crazy Marie” and Solvej Balle’s “Alette V.,” as a feminist trope that disrupts modern fiction’s clichéd representations of female characters. The flat-character, a term coined by E.M. Forster, is an undeveloped figure designated to embody “a single idea or quality.” Based on the poetics of Erin Mouré that theorize the preposition as the woman’s sign: “because in the language it has no power, & can’t exist alone,” the essay compares the value of the flat character in the hierarchical organization of the story to the place women have occupied in social and literary discourse. By shifting our focus to the power structures at work in language and the laws of art, the female flat character becomes more complex: she now works as a disruptive liminal figure between female stereotypes and multiple representations of female subjectivity.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.022 | 0.061 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".