Strange Figures: The Female Founders at the Margins of Hannah Arendt's Theory of Political Beginning
Bibliographic record
Abstract
Abstract Without females included in the ranks of political founder, Hannah Arendt's theory of political beginning looks dangerously romanticized. Arendt's founder is someone who rises to the challenge of their times, diverting history and renewing public spirit in the process. But despite a methodology that called for recovering the “rich and strange” from the past Arendt does not address the female founders that populate the myths and traditions she cites as instructive. These figures exemplify the unsettling forces and relationality she associates with beginning, but they also signal the high cost of action for the marginalized, including the difficulty some actors face in being recognized at all. If, as she suggests, the founder's persona provides an avenue of recall for the perplexing experience of beginning, then female founders support this recall magnificently while adding a tragic and troubling note that Arendt omits. Their reintroduction into her theory of political beginning takes the shine off her otherwise heroized and happy account.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.010 | 0.035 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 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".