Representaciones antiperonistas de los empresarios azucareros jujeños sobre el intervencionismo estatal (1955-1958)
Bibliographic record
Abstract
Sugar factories in Jujuy (a northern Argentina province) exercised very large influence over all political process performed in that jurisdiction for the last quarter before the emergence of Peronism. Such rule was based on the main place hold by agroindustry in jujenian productive structure. Changes introduced since June 1943, because of the tendencies of new military government, affected key foundations of power structure, on which was grounded the political control of sugar factories. Actors linked to these firms became quickly into major jujenian opposition to this administration, so-called Antiperonism. They also constructed a set of representations about the new governing interventionist policies. Such economical procedures were kept for the following Peronist government. This paper aims to determine the features of those representations and to define the conditions that made them possible for the period of Revolucion Libertadora.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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; both teacher heads agree on what is shown here.
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".