A Legacy of Cunning Rhetorical Agility:<i>Métis</i>Polymorphism in the Protest Rhetoric of Sojourner Truth and Sarah Grimké
Bibliographic record
Abstract
In Greek mythology, Metis’s cunning intelligence and polymorphism are crucial in Zeus’s victory over the Titans. However, the paranoid god eventually swallows Metis and claims her cunning intellect as his own—an act analogous to the patriarchal consumption of women’s voice. The rhetorical concept of métis derived from this myth refers to wily, cunning, and polymorphic intelligence. This article explicates the rhetorical concept of métis and argues that women have employed métis polymorphic rhetoric throughout history to negotiate intersecting oppressions, protest injustice, and engender change. By reexamining the protest rhetoric of early feminist activists Sojourner Truth and Sarah Grimké and connecting their tactics to contemporary scholarship on feminist activism, this article draws attention to métis as a consistent determinant and a valuable theoretic framework already residing under the surface of much feminist rhetorical inquiry.
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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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.038 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 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".