Bibliographic record
Abstract
This work examines core assumptions of the rationalism that underlies liberal political theory by placing it against the background of a dramatic historical phenomenon---genocide. An attempt is made to draw on historical accounts of two genocides to develop a critique of liberal political theory as it has been articulated during the latter years of the 20th Century by John Rawls. Ultimately, this thesis attempts to sort out the conceptual problems arising at the junction point of normative and descriptive theories of politics and argues that the basic elements of both kinds theories would benefit greatly from closer attention to history. The first chapter is devoted to a discussion of the ways in which political reason can be adapted to the needs of state and suggests that there are problems associated with the attempt to universalize the notion of human rights across a community of nations lacking the basic contextual requirements for rights. Chapter two considers the uncomfortable fit between political structure and value in liberal political theory. It argues that the administrative structure of states now exists as an important part of contemporary formal reality and thus ought to be a critical element in any serious study of politics. An argument begins here that works towards the final conclusion that states constitute an arena within which individualist and collectivist values collide. The third chapter examines the relationship between liberal values and rationality. It includes a technical discussion of Max Weber's theory of rationality but limits the discussion to political applications. This chapter raises a series of questions about the concept of rationality used in the construction of political theory. Chapters four, five and six examine the complications that arise when a liberal perspective is taken to issues of ontological existence, community values and the powers inhering in states to shape identity frames in the interests of administrative efficiency. This leads into a more technical discussion of rationality as represented in the theories of John Rawls and Alan Gewirth that is contained in the seventh chapter. Chapters eight and nine are devoted to discussions of elements of the Holocaust and the Rwandan genocide respectively. Both examples are used as a means of illustrating the complex power relations arising out of the various forms of collective agency needed to sustain state sovereignty and which complicate political theory far beyond the explanatory power of liberal rationalism. The examples are used to argue that theories based on notions of disassociated rational persons just fail to support their normative conclusions. The final chapter argues for a re-examination of the way in which political theory is read and suggests that liberal theory, in particular, tends towards abstraction in ways that limit its usefulness as either explanatory or normative theory.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.023 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".