Principal Concepts in Henry George's Theory of Natural Law: A Brief Commentary on<i>The Science of Political Economy</i>
Bibliographic record
Abstract
A bstract George sees the obstruction of the interaction between the active and passive factors of production, between the human and the natural, or anything that exacerbates the dualism between us and nature, as contrary to the functioning of political economy. His deliberations on the nature of action and desire lead to his formulation of the fundamental law of political economy. This essay elaborates on the guiding principles of that law, examines its basis in light of Ciceronian versus descriptive economics, considers its ramifications for socio‐political institutions and economic reform, and addresses the question of social versus economic justice. The recognition of the power of economic rent in the distribution of income and wealth has once again made George's philosophy of economics a guide for reforms in public finance, the alleviation of poverty, and the long‐term stewardship of the environment.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".