Inflation in Argentina during the Second Peronist Period (1973-1976): A Post-Keynesian Interpretation
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Bibliographic record
Abstract
This paper uses the Post-Keynesian approach to examine the surge of inflation in Argentina between 1973 and 1976. The pattern of inflation is compared with the changing course of the distributional conflict that characterised the episode. A description of the prevailing political and social context provides insight into Argentina's macroeconomic evolution. Two sub-periods are identified: one from June 1973 to October 1974 characterised mainly by a slowdown in inflation and an upturn in economic growth; a second, ending in the first quarter of 1976, during which the distributional conflict flared up again partly because of the rise in import prices and partly because the firms and workers involved enjoyed substantial market power and bargaining power. This led to an escalation of inflation and great variability in macroeconomic circumstances.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it