Learning like a state organizational learning and state capacity in ancient Greece
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract State capacity is critical for development. Yet, the question of how states learn – that is, how they acquire and incorporate information to improve performance over time – has received little attention. In this paper, we draw from organizational theory and the political economy of knowledge and innovation to study the components of effective learning in states as organizations. We focus on three functionally simple, but well-documented early states in ancient Greece: Sparta, Athens, and Macedon. We argue that Macedon’s superior performance relied on a learning model capable of integrating both experiential and experimental knowledge within existing structures. By directing our attention away from the early modern period, where much work in economic history and historical political economy is concentrated, our account challenges the focus of the existing literature on processes of centralization. Instead, we highlight organizational factors that may promote capacity-enhancing learning even in the context of weak centralization.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| 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 it