Los militares y el desarrollo industrial y tecnológico en Argentina: Apogeo y declinación de un proyecto de país
Bibliographic record
Abstract
Between the 1920s and 1980s, Argentina undergoes a strong process of industrialization, which fundamentally disrupts the foundations of its economy. Throughout this process, the military play a leading role. Their contributions are key to the advancement of major industrial and technological projects. At the same time, the military commanders assume the role of arbitrators through coups and control over civilian governments, within a political system in which the different social classes are incapable of reaching lasting agreements, and in which none class or class alliance succeeds in imposing itself. However, in the last quarter of the 20th century, the industrial country model enters into crisis. It is the same military who are in charge of dismantling it. This article tries to explain the double function, political and technical, that the armed forces fulfill throughout the period in question, analyzing the interaction between internal and external causes. It also aims to investigate what motivates the eventual abandonment of the industrial country model and for what reasons the national economy ends up acquiring its current configuration. The answers to these questions are relevant to the contemporary political debate.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".