Implicancias socioecológicas de la política de endeudamiento argentina pos 2015
Bibliographic record
Abstract
Between the third quarter of 2015 and the same period of the year 2018, 124,731 million dollars outflow in Argentina, the external debt was increased by 56% and its economy contracted by 1.14%.\nSince the policy of indebtedness adopted post 2015, Argentina's debt obligations sums a total of 314.405 million dollars for the next 28 years, which hinders any strategy that aims to pay the social and environmental debts that the State keeps with the society and its territory.\nFor this reason, and through the statistical analysis of various data and variables from the Ministerio de Hacienda de la Nación, the National Institute of Statistics and Censuses, the Latin American Integration Association, among others, it is intended to analyze how the taking of debt generates greater pressures on the economy, and in this way, on the agribusiness, which has socio-environmental implications that must be considered.\nIn this way, it is expected that this analysis will allow us to reflect on how this worsening of the debtor situation leaves the country in a worse position, in front of any alternative to social and ecologically viable development.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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; a candidate call from one teacher head, 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".