Economic Freedom and Citizen Repression were Two Sides of the Same Coin in 1980s Latin America
Bibliographic record
Abstract
As the Latin American political landscape shifted in the 1970s to include several right-wing and authoritarian juntas, social and economic factors caused these regimes to turn to neoliberalism to stimulate their economies and solidify their power. Over the next three decades, neoliberalism impacted most of the region with differing degrees of penetration and longevity. It will be argued that various actors contributed to the rise of neoliberalism in Chile and Argentina, including each nation’s military, key political figures and the University of Chicago’s Economics Department. The way in which power was distributed following the coups of Chile and Argentina decisively determined the entrenchment of neoliberal policies in each nation. It was not until the 1980s debt crisis the stark divergences in neoliberalism’s effectiveness would come to light as each nation fought to recover. Finally, the region’s pattern of economic growth following the crisis will be explored to understand how the legacy of neoliberalism remains intact.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.029 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".