Bibliographic record
Abstract
This chapter constructs a formal model of our hypothesis from Chapter 9 about the rise of Uruk. We assume there are many open sites where people can obtain food by foraging, farming, or pastoralism. There is also one site controlled by a local elite. We start from an equilibrium with mild stratification, reflecting the conditions of the ’Ubaid period. A climate shift toward increasing aridity reduces the productivities of sites dependent on rainfall but does not affect the productivity of the elite-controlled site where irrigation is based on river water. This lowers commoner food income and shifts population toward elite-controlled land. The declining standard of living for commoners makes it profitable for the elite to create urban workshops producing textiles and other goods, where manufacturing has aggregate increasing returns to scale. The taxation of manufacturing allows the elite to enforce monopolistic output restrictions, driving up the price of manufactured goods and driving down the wage. Organized elites may want to establish city-states based upon manufacturing even if they lack interest in public goods, because taxation can be used to enhance private elite consumption. The key tradeoff for the elite involves profit from manufacturing versus land rent from agriculture.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 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".