Order in the Bazaar: The Transformation of Non-state Law in Afghanistan’s Premier Money Exchange Market
Bibliographic record
Abstract
Based on fourteen months of ethnographic research on the central money exchange bazaar in Kabul, Afghanistan—Sarai Shahzada—this article examines the micro-dynamics of legal change within a close-knit community in a fragile setting. For most of its history, the bazaar has been governed by informal legal norms. New state-building measures after 2001 led to increased efforts by the state to regulate the bazaar, causing money exchangers to initiate internal transformations to protect their autonomy. While scholarship generally argues that state coercion substitutes for private legal norms, this study shows the centrality of the state in consolidating the bazaar legal system. Exchangers have cast their non-state legal system in the image of the state by formalizing new operating rules that have introduced a management structure and dispute resolution forum. New state licenses have also helped to safeguard the boundaries of the bazaar. This article contributes to private governance and legal pluralism scholarship by revealing that a private community, even in a fragile state, may be capable of maintaining an autonomous non-state legal system not in spite of, but rather by depending on, the state.
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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 | 0.001 | 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 | 0.000 | 0.001 |
| 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".