Plato's Theory of the Justice in the Ideal State: Function and class
Bibliographic record
Abstract
There are numerous interpretations of Plato's theory of justice as it relates to the ideal state, deeply intertwined with his political philosophy. This complexity makes understanding his interlocking ideas challenging, as he seeks to construct a theory of the ideal state. Plato's philosophy of justice, particularly in its political dimension, emphasizes integration as a fundamental factor in grasping his theory. This paper aims to elucidate the original concept of justice in Plato's state by delving into the roots of the Republic, analyzing its historical context. Plato's predictions reflect values and truths connected to politics and philosophy, emphasizing integration as essential to understanding his theory of justice, which lies at the core of his philosophy. This essay compares the relationship between the functions and class structure of the state. Plato classifies human nature into three components: reason, courage, and appetite, which correspond to three major classes in the state. The ruling class, educated in philosophy, governs the state. The military class, characterized by courage and strength, defends the state, while the professional class manages the everyday affairs of governance. Plato's theory posits functional specialization across all classes as fundamental to his ideal state. In essence, while Plato's imagined city may lack historical existence, it holds significant relevance in the realm of speculative human thought. Keywords: Justice. State. Function. Class. Rulers. Guardians. Producers.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.028 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".