Bitcoin as Tool for Financial Inclusion in El Salvador: The Perils of Authoritarian Governance
Bibliographic record
Abstract
In 2021, El Salvador declared bitcoin legal tender. According to President Nayib Bukele, the measure was intended to expand access to financial services in a country with a high proportion of unbanked people and to cheapen and ease remittance flows for migrants and their families. In this article, we inquire about the use of bitcoin as a tool for financial inclusion and contend that this policy needs to be seen in the broader context of democratic backsliding. We show that bitcoin has not translated into financial inclusion, but instead, the bitcoin law serves as a public relations tool to capture new support from like-minded constituencies, build closer relations with them, and empower international “crypto-bros.” On the other hand, this is a tool to benefit a close circle close to the president with the use of public funds, as part of a broader historical shift of elites in El Salvador.
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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 | 0.005 |
| 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 | 0.000 |
| 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".