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Record W7067434721

Los militares y el desarrollo industrial y tecnológico en Argentina: Apogeo y declinación de un proyecto de país

2023· article· en· W7067434721 on OpenAlexaboutno aff

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicLatin American socio-political dynamics
Canadian institutionsnot available
FundersUniversidad de Buenos Aires
KeywordsAbandonment (legal)AlliancePoliticsQuarter (Canadian coin)Control (management)Charge (physics)
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.251
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.017
GPT teacher head0.308
Teacher spread0.291 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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