Bibliographic record
Abstract
Economics was a part of social and political thoughts in general for most of history. In the eighteenth century, Adam Smith saw economics as a subset of jurisprudence. However, the seeds of economic analysis were planted long before; in ancient India, societies exercised economic theories and principles during the 3rd century BCE. This paper investigates the economic leadership in ancient India between the 3rd century BCE and the 3rd century C.E. During that era, a philosopher, economist, jurist, and royal advisor named Chanakya authored the ancient Indian political treatise the Arthshastra. He has discussed many economic theories like economic growth, tax, and mixed economy in his book. He is considered the pioneer of political economics in India, and his work is believed to as an essential precursor to classical economics. This paper evaluates the theories of Chanakya by a comparative analysis of political and economic union between the modern-day the European Union and the Mauryan Empire of ancient times.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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 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".