Origin Stories in Political Thought: Discourses on Gender, Power, and Citizenship
Bibliographic record
Abstract
Origin Stories in Political Thought: Discourses on Gender, Power, and Citizenship. By Joanne H. Wright. Toronto: University of Toronto Press, 2004. 260p. $50.00. The author's express purpose in this book is “to cast a critical eye on the origins motif as it surfaces in the tradition of political thought” (p. 23). “Political origin stories,” Joanne Wright tells us, “are narratives about the beginnings of politics and power” (p. 3). Origin narratives may be used to consolidate existing or threatened political arrangements, or to inspire radical efforts to reconfigure the prevailing terms of political identity and civic consociation. The crucial thing to note about origin stories is that they function as foundational narratives, effectively setting uncontested and quasi-ontological terms for political identity, aspiration, and legitimacy. In short, though politically motivated, origin stories are perversely antipolitical, in the sense that they “confer upon politics the permanence of nature” (p. 10). Origin stories have a number of other troubling aspects and effects, including “their manipulation of history, their naturalization of conventional political relations, and their function as justificatory scripts of citizenship” (p. 22). The myth of the metals from Plato's Republic offers an exemplary case of the origin story: “the autochthonous myth of the metals justifies and elicits consent to a hierarchical ordering of classes in the republic” (p. 4).
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.010 | 0.037 |
| Scholarly communication | 0.010 | 0.012 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".